Strong Compute jobs

Applied Scientist, Materials and Process Development, AWS Center for Quantum Computing Pasadena, California, USA The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Materials team, focused on materials integration and process development for superconducting quantum processors. You will join a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. You should have expertise in thin-film deposition, semiconductor integration processes, and materials characterization, with a strong understanding of how device topography and process sequences constrain materials integration choices. Candidates with a track record in materials integration for superconducting or semiconductor devices at wafer scale will be preferred. We are looking for candidates with strong scientific and engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. As an Applied Scientist at CQC, you will be expected to drive materials integration R&D from process development through hardware demonstration and stay abreast of advances in superconducting materials and semiconductor manufacturing. Key job responsibilities You will develop and optimize materials for superconducting quantum hardware, with an emphasis on thin-film deposition processes and materials solutions that enable integration architectures for scaling qubit density. This includes establishing process-structure-property relationships for production-relevant films and interfaces, qualifying new tools and process modules, and designing integration schemes compatible with larger wafer formats. You will coordinate with cross-functional teams to translate materials advances into production, and publish results in scientific journals

Data Scientist, Performance and Reliability San Francisco, CA, United States, New York Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role Cursor is building the best way to develop software with AI. As an early member of our data science team, you'll help define the way the company uses data to make decisions and deliver a high quality experience to millions of users across billions of user<>AI interactions. What you'll do - Design and operationalize metrics that measure the stability of product surfaces and the agent harness - Build a measurement and rollout framework to prevent, detect, and root cause performance regressions - Partner with engineers on data tooling that enables self-serve analysis - Identify performance and reliability experiences that disproportionately cause user frustration You may be a fit if - You have 5+ years of experience as a data scientist at a high growth company - You've operationalized a north star performance metric across a pillar - You have experience building and operationalizing data tooling for non-data users - You enjoy working directly with engineering on measurement and strategy - You're experienced in experimentation and causal inference - You're happy to work across

Infrastructure Hardware Technical Program Manager (Server and Network Systems) Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. As an Infrastructure Hardware Technical Program Manager (Server and Network Systems) on the Cluster Architecture Team, you will drive end-to-end delivery of server and network platform programs across Cerebras CS-3-based AI clusters - from requirements and vendor selection through lab bring-up, qualification, and production rollout. You will be the execution owner for multi-team programs spanning OEM/ODM partners, component vendors, internal software/runtime teams and architects, validation/QA, and deployment/operations. This role is intentionally technical: you must understand server, network, and

Optical Engineer Boston, MA, USA Optical Engineer The Hardware Engineering Group at QuEra Computing is seeking strong candidates for an Optical Engineer to serve as an individual contributor to the company's mission of building state-of-the-art, manufacturable, and deployable neutral atom quantum computers. The Hardware Engineering Group plays a crucial role in accelerating the company's technology leadership and translating the company's scientific breakthroughs into products delivered to customers. To accomplish this mission, we are looking to hire a candidate with an undergraduate or graduate-level education in optics, optical engineering, or applied physics, paired with hands-on experience designing, building, and testing optical systems. The ideal candidate will combine a solid fundamental understanding of optics with strong laboratory skills and a desire to grow as an engineer within an enterprise engineering environment. Key Job Responsibilities - Collaborate with senior engineers and physicists to design, build, and test optical sub-systems, modules, and components supporting QuEra's neutral atom computers through the full development lifecycle (R&D, productization, maintenance, and beyond). - Execute hands-on laboratory work-assembly, alignment, cleaning, and characterization of optical systems-and contribute to engineering documentation, design reviews, and continuous improvement initiatives. - Coordinate with the R&D/science team to support cutting-edge R&D and help translate scientific advances into the next generation of products. - Assist with troubleshooting technical issues at company headquarters and, as needed, support off-site installations at customer locations (in coordination with the local support team). Qualifications - B.S. in optics, optical engineering, applied physics, or a closely related field (M.S. preferred). - 2-5

Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos Cupertino, United States of America In the Camera Imaging Algorithms team in the Camera & Photos organization, we are looking for passionate, self-driven computational photography/computer vision machine learning engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world. As a machine learning engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovative ideas to product. We are seeking a creative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline. Minimum Qualifications: Strong coding skills in Python; experience in C/C++ a big plus Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques Experience with deep learning techniques for image restoration and image fusion applications

ML Software Tool Development Engineer Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Responsibilities: - Lead the design and implementation of system-level debugging, validation, and observability platforms. - Develop automated systems for collecting and analyzing numerical, and execution anomalies. - Create visualization and analysis tools to enable efficient root-cause investigation. - Build frameworks for failure classification, regression detection, and anomaly monitoring. - Extend compilers, runtimes, and programming interfaces to support advanced profiling and instrumentation. - Improve system bring-up, low-level debug, and validation workflows. - Partner cross-functionally with compiler, hardware, firmware, runtime, and infrastructure teams. -

Senior Accountant Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role The Senior Operations Accountant will be a key contributor to the Finance and Operations teams, reporting to the Senior Cost Accounting Manager. This role is designed for a detail-oriented professional who excels in fast-paced environments and can derive insights from complex manufacturing and inventory data. You will support the end-to-end execution of cost accounting and fixed asset processes. Responsibilities Cost Capitalization & Inventory Accounting - Execute monthly inventory reconciliations and post all related journal entries. - Perform calculations for inventory rebates, wafer manufacturing yield losses,

Sr. Technical Staff Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras Systems Inc. has multiple openings for Sr. Technical Staff. Title: Sr. Technical Staff Job Duties: - Post silicon validation of Cerebras Wafer Scale Engines. Test and debug issues on new silicon. - Test, analyze, and characterize high-speed serial interfaces to verify compliance with hardware specifications, record performance data, and recommend design modifications to optimize functionality. - Work with the silicon and operations team to test, bring-up and run burn-in on wafers scale systems. - Support manufacturing operations to utilize the wafer bring up flow. Perform wafer

Quantitative Developer - C++ Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. A trading desk is successful thanks to the mix of the following three internal teams: - Quant Traders: who are having strong knowledge about finance and trading - Quant Researchers: who are mathematicians - Quant Devs: who are strong in tech and computer science Your future role within QRT: - You will be working within a trading desk which means that your contribution will have a direct and immediate impact on the desk's success - Placing you as a key member of a Quant Dev team working closely with Quant Researchers and Quant Traders. - A role with the potential to touch many aspects of algorithmic trading, including ultra-low-latency trading engine (tracking nanoseconds), research platform (Terabytes of data per day), and analytics infrastructure (Massive cloud computing) - Opportunities to solve hard technical challenges critical to the desk's success Your present skill set: - Expertise in modern C++, with strong hands-on development experience - Deep understanding of system-level fundamentals, including CPU, memory, operating systems, and networking - Strong analytical mindset and genuine motivation

Account Executive, AWS Nonprofits – Research Institutes, Nonprofits Research Seattle, Washington, USA Would you like to own driving revenue and customer engagements for a leader in the Cloud Computing business? Would you like to be part of a rapidly growing team focused on increasing adoption of Amazon Web Services (AWS) by engaging with nonprofit research organizations, specifically those working in Life Sciences/Genomics, Healthcare, Social/academic policy, Environmental or Applied Sciences Research? Nonprofit research organizations are rapidly adopting AWS as part of their mission impacting IT strategies. They are quickly recognizing the value of AWS by reducing capital expenditures and driving efficiencies, thereby allowing them to put money back into their missions. Do you have the sales experience, technical background and customer relationships to help further establish AWS as a leading cloud platform provider to this important customer base? As an Account Executive with AWS focusing on the nonprofit market, you will have the exciting opportunity to help shape and deliver on a strategy that focuses on customer success, building mind share and driving broad use of Amazon's utility computing services to support their mission. The ideal candidate will have sales and/or consulting experience within this market, a strong understanding of segment-specific challenges, strong relationships within the customer base and the consulting community that serves this market. The Account Executive will be a strong analytical thinker who thrives in fast-paced dynamic environments, has a strong technical interest, and a passion for nonprofits. They should be a self-starter who is prepared to develop

Senior Mechanical Engineer Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Senior Mechanical Engineer at Cerebras, you will lead the design of mechanical systems for our next-generation wafer-scale engine. Your responsibilities will include ensuring compliance with specifications, validating manufacturability, and delivering a high-quality product in a fast-paced environment-tackling some of the most challenging problems in the rapidly evolving AI space. In this role, you will develop mechanical infrastructure for Cerebras' custom hardware system. - Rapidly iterate on designs and analysis to inform high level systems trades and steer overall product direction. - Provide

Senior Executive - Coding Auditor Chennai, Tamil Nadu, India Senior executive Surgery Coder : Mandatory 3+ Years of experience After Certification. Surgery Coder with 3+ years of multi-specialty outpatient surgery coding experience, including IVR and General Surgery. The role requires CPC certification, strong knowledge of injections/infusions, and familiarity with APC facility coding. Candidates must possess strong communication skills, computer proficiency, and be willing to attend mandatory in-office training.

Systems Software Engineer (C++) San Francisco | OnSite COMPANY Thunder Compute is the lowest cost, easiest GPU cloud for developers. We're a 4-person team with $4.5M raised from top tier investors including Y Combinator and Matrix Partners. There are two parts to our company. 1) we are a cloud platform where customers can rent GPUs just like they would from Coreweave, Lambda, AWS, etc., and 2) we are building systems software to use GPUs more efficiently than these competitors. ROLE Your work will focus on core C++ systems development: performance optimization, systems debugging, and research. You will spend your days bouncing between the weeds of complex, performance-critical systems in a production, customer-facing environment. This work is not easy - but if you're the right candidate, this is a feature, not a bug. CORE TECHNICAL SKILLS: - Top 0.1% C++ ability - Experience optimizing NIC/GPU performance - Deep understanding of low-level networking, compilers, and similar systems - Experience in latency-sensitive environments MUST HAVES: - You've got the dog in you: you will own your work and be responsible for production systems from day 1 - High speed-to-output - Willingness to assume a senior leadership role as we scale - Strong communication skills under pressure PREFERRED: - CS Bachelor's degree from top 50 US university, 3.5+ GPA - 1+ year of experience at a trading firm (Citadel, Jane Street, etc.), hardware company (NVIDIA, SambaNova), systems research or similar LOGISTICS - You'll report to Co-founder/CTO Brian (ex-Citadel quant dev) - This role is

Physical Design Engineer Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a member of our tight knit physical design team, you will be working on the design and analysis of 3D integrated products. This role involves a combination of traditional ASIC/SoC physical design skills, packaging, power, clock and cooling analysis. You will work closely with the architecture and RTL team to do R&D on novel concepts for 3D integration. Skills and Qualifications Required - 10+ years of physical design/verification experience. - Strong knowledge of block level and full-chip physical verification methodology. - Expert at

Machine Learning Engineer – Computer Vision & Data Systems Sunnyvale, United States of America At Apple, we are dedicated to creating technologies that enrich people's lives. Our teams develop products and experiences that empower millions of users globally, by combining world-class engineering with a deep commitment to innovation, quality, and privacy. We are seeking a Machine Learning Engineer with strong expertise in computer vision and large-scale data processing. In this role, you will contribute to the development of next-generation real-time sensing and data intelligence systems by designing algorithms, building scalable data pipelines, and collaborating with multi-functional teams to deliver high-impact, production-quality solutions. As a Machine Learning Engineer, you will: - Design, build, and maintain large-scale data processing workflows, ensuring efficiency, scalability, and reliability across diverse data sources and modalities. - Develop and optimize computer vision models that power core product experiences, including areas such as image understanding, multi-view geometry, 3D reconstruction, and visual recognition. - Partner closely with engineering, research, and data teams to translate product requirements into technical solutions. This includes prototyping models, running large-scale experiments, improving data quality, and ensuring seamless integration of algorithms into production systems. - Explore emerging areas such as LLM-based agents, retrieval-augmented systems, and tool-oriented reasoning to improve internal workflows or data operations. Minimum Qualifications: Strong foundation in computer vision, including experience with deep learning-based vision models and at least one area such as detection, segmentation, 3D vision, geometric methods, tracking, or self-supervised learning. Hands-on experience developing machine learning models using frameworks such as

Staff Cloud Infrastructure, Scientific Computer Engineer Redwood City, California, United States Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company's R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: We are seeking a Staff Cloud Infrastructure, Scientific Computer Engineer to help build, operate, and improve the infrastructure foundations that support computational science, data engineering, analytics, and enterprise business operations across RevMed. This role will partner with scientific, G&A, data, security, and IT stakeholders to deliver reliable, secure, scalable compute and platform services. The ideal candidate brings deep infrastructure experience, strong operational judgment, and the ability to translate scientific and business computing needs into practical, reusable platform patterns. What You'll Do: - Design, operate, and improve secure cloud infrastructure for R&D and scientific computing workloads. - Build reusable infrastructure patterns for compute, storage, networking, identity, secrets management, and observability. - Use Infrastructure as Code, primarily Terraform, to standardize provisioning and change management. - Support high-throughput and scientific compute environments, including HPC and scheduler-based workloads. - Enable reproducible compute patterns using Linux,

QA Lead (ML Integration and Quality) Bengaluru, Karnataka, India Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As an ML QA Lead, you ensure quality of Cerebras SW across all supported ML workloads and workflows. You will be part of MIQ (ML Integration and Quality) team that will focus on SW components feature testing, ML training accuracy and performance, pre deployment/production validation, validating customer workloads and workflows. As part of this role, you will influence the best testing practice, good debugging methodology, effective cross team communication and advocate for world-class products. Responsibilities - Drive quality of various

Distributed Software Engineer Bengaluru, Karnataka, India; Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Cerebras Systems is a pioneer in large-scale AI Supercomputers. These multi-exaflop supercomputers are deployed in some of the biggest datacenters. These supercomputers are built using our Wafer-Scale Cluster technology - a cluster of several Wafer Scale Engine (WSE) chips. The Cluster engineering team is responsible for delivering software that are all-things related to cluster. Responsibilities - Automate bare-metal configuration of networking, OS, and application software in large clusters of Cerebras WSE, servers, and switches. - Additional push button

Desktop Analyst/Helpdesk Technician Centennial, CO The Desktop Support / Helpdesk Technician provides technical assistance and support for incoming queries and issues related to computer systems, software, and hardware. This role requires strong troubleshooting skills, excellent customer service, and the ability to work in a fast-paced environment.

Commercial Lines Administrator Embrace the opportunity to become a Commercial Lines Administrator and play a key role in managing policy documentation and supporting branch operations. If you have strong computer skills, attention to detail, and experience with commercial insurance systems, this is your opportunity to grow your career in a dynamic, client-focused environment.

Senior AI Engineer London (hybrid)

Mgr, Software Engineering Austin, TEXAS, United States Company Description: Job Description: We are seeking a Software Engineering Manager Responsibilities Lead and mentor a team of talented Software Engineers, supporting their execution, growth, and career development Gather and drive clarity on software requirements from diverse groups including customers, application engineers, hardware, and firmware engineers Provide technical leadership and contribute hands‑on when needed to offload the team Drive execution, resource planning, and prioritization in a fast-paced and evolving environment Remove blockers, improve processes, and champion the team across the organization Qualifications: 10 years of software engineering work experience, including 2+ years of experience managing a team BS/MS in Computer Science, Computer Engineering, or related field Proficient programming skills in Java/Kotlin and Python Solid understanding of software systems and development practices using CI/CD Excellent organizational skills with attention to detail Strong written and verbal communications skills Preferred Qualifications Experience with JavaFX or GUI development very strongly preferred Experience with basic electronics, microcontroller programming and bus communications strongly preferred Experience with DevOps including JIRA, GitLab, and Confluence preferred Familiarity with DC-DC buck converter concepts and applications preferred Additional Information: Renesas is an embedded semiconductor solution provider driven by its Purpose ' To Make Our Lives Easier .' As the industry's leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and

Lead ML Engineer / Data Scientist San Francisco, California, United States Hilbert is building the ML systems that power demand intelligence for the world's largest consumer companies - recommendation engines, demand forecasting, customer lifecycle models, and activation systems that must work across wildly different retailers, data environments, and business contexts. This isn't single-tenant model building; it's designing configurable, production-grade ML architectures that generalize across Fortune 500 enterprises and beloved consumer brands alike. We're looking for a Lead ML Engineer who thinks in systems, understands B2C business problems deeply, and can build the models and pipelines that power real growth outcomes - all with the ownership and urgency of a founder. This is not a "build a model in a notebook and hand it off" role. You'll own the entire ML function - from problem framing through model development through production deployment through business impact - and you'll do it for enterprise customers where the stakes are real and the feedback loop is tight. If you understand why a recommender system matters to a retailer's P&L, can design a configurable ML system that works across customers without being rebuilt from scratch, and can explain causal impact to a room of executives with clarity and conviction, we want to meet you. Why Hilbert AI Hilbert is building the demand intelligence platform used by world-class B2C leaders - including the world's largest retailer - to unlock compounding growth outcomes. We sit at the intersection of AI, data, and commercial activation for retail and

ML Engineer / Data Scientist - Core San Francisco, California, United States Hilbert is building the ML systems that power demand intelligence for the world's largest consumer companies - recommendation engines, demand forecasting, customer lifecycle models, and activation systems that must work across wildly different retailers, data environments, and business contexts. This isn't single-tenant model building; it's designing configurable, production-grade ML systems that generalize across Fortune 500 enterprises and beloved consumer brands alike. We're looking for an ML Engineer who understands B2C business problems deeply, builds models and pipelines that work with real-world data, and delivers systems that drive real growth outcomes - all with the ownership and urgency of a startup. This is not a "receive a ticket, train a model, hand off a notebook" role. You'll own problems end-to-end - from framing through modeling through production deployment through impact - for enterprise customers where the stakes are real and the feedback loop is tight. If you understand why churn analysis matters differently for a grocery retailer versus a fashion marketplace, can build a recommendation system that works with sparse data and runs reliably in production, and can walk a customer through your causal analysis with clarity and conviction, we want to meet you. Why Hilbert AI Hilbert is building the demand intelligence platform used by world-class B2C leaders - including the world's largest retailer - to unlock compounding growth outcomes. We sit at the intersection of AI, data, and commercial activation for retail and e-commerce. We're scaling fast