Strong Compute jobs

SoC Power Analysis and Optimization Engineer Tel Aviv-Yafo, TA, ISR AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture. If you want to be part of a team that's advancing cloud computing technology at scale, join our Power Analysis, Optimization, and Management team, where you'll help develop advanced processors that power Amazon Cloud. We're looking for someone who combines strong technical knowledge in chip design with excellent problem-solving abilities and collaborative skills. Watch these videos to learn more about Annapurna Labs and the Graviton project. AWS re:Invent 2025 - Keynote with Peter DeSantis and Dave Brown: https://www.youtube.com/watch?v=JeUpUK0nhC0 AWS re:Invent 2025 - AWS Graviton https://www.youtube.com/watch?v=haSHl2BLhm8 Key job responsibilities Analyze SoC Power consumption at Pre and Post Si stages Contribute to SoC Power optimization during all stages of Design Cycle Work with variety of teams to impact the quality of SoC power efficiency: Logic & Physical Design, PDN, Post-Si. Optimize Power Team

Senior Software Engineer, Compute Infrastructure Mountain View, California; San Francisco, California RDQ427R175 At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. At Databricks, the Compute Infrastructure organization builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency. As a Senior Software Engineer on the Compute Infra team, you will design and build the systems that power Databricks' compute infrastructure to enable engineers to quickly launch and scale world-class products. The impact you will have: - Develop the compute abstractions that provide powerful capabilities for all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance - Design the workload orchestration and scheduling systems that orchestrates all types of workloads (serving, batch, stateful, GPU) with high performance and efficiency - Scale the fleet management systems that

Systems Engineer, Managed Operations, Managed Operations Berlin, Berlin, DEU AWS has successfully launched the European Sovereign Cloud (ESC), marking a significant development in Utility Computing (UC). To spearhead this initiative, we are actively seeking experienced systems engineers with a strong background in automation and operations. As part of the AWS Managed Operations team, you will play a pivotal role in building, operating and evolving operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Your responsibilities will encompass overseeing the ongoing operations and expansion of the ESC, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring continuous improvements in availability, reliability, latency, performance, and efficiency of the ESC. You will be required to occasionally participate in “on-call” rotations to resolve incidents occurring out-of-hours. The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in operating and scaling a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation. Utility Computing (UC) European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product

Machine Learning Engineer, Integrity Hybrid in Santa Clara, CA HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world's most innovative companies to build strong engineering teams ready for what's next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The integrity of that system is not a feature. It is the foundation. Open Problem The fraud gets smarter every quarter. The models have to keep up. Integrity isn't about whether you use AI or not; it's about whether you are following the rules. Our integrity system is a portfolio of signals spanning vision, code analysis, browser telemetry, and behavioral sequences. Each signal is independently trained, operates on a different modality, and has its own precision-recall tradeoff and failure distribution. That heterogeneity is not a

AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data(10030) San Jose, California, United States Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why there's no better time to join the Extreme team. Position : AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data Experience : 5 to 14 Years Hybrid/Remote Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence. Position : AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data Experience : 5 to 14 Years Hybrid/Remote Our AI Core group is

Intermediate Data Science Specialist CDM Smith is seeking a Intermediate Data Scientist to enhance the capabilities of the Analytics team in Predictive Modelling and Computer Vision. This individual will have the opportunity to work alongside talented and innovative team members to drive Analytics initiatives that are transformative to CDM Smith. Under light supervision, this individual gathers data, creates Predictive Models and custom solutions. Primary responsibilities: • The individual will apply Machine learning algorithms and techniques. • Ability to apply a broad range of algorithms to varied data science problems including but not limited to Predictive Analytics, Computer Vision and Text Analytics. • Experience with supervised and unsupervised learning as well as extensive experience with Data Science languages like Python and R. • Design meaningful visualization using Qlik, Tableau or other tools. • Enhance Data collection procedures to include information that is relevant to building analytics systems. Data Science Skills: • Python, R, Deep Learning Neural Networks • Traffic Analysis using Computer Vision and AI. • Exposure to Azure AI or AWS Machine Learning Modules a plus. • Ability to write SQL queries as well as logical scripts. Nice to have skills: • OpenCV • Caffe2 • Azure Custom Vision • YOLO3 Minimum Qualifications: • Graduate degree (M Tech or PhD) with a specialization on computer vision, machine learning, data analysis is strongly preferred. • 3+ years of related experience- including delivering Predictive Analytics/Custom Vision solutions. • Some experience with Analytics/Business Intelligence tools such as Qlik, Birst, Tableau, Power BI, Spotfire,

HID Interaction Algorithm Engineer Sunnyvale, United States of America Join the engineering team that fuses multimodal input to enable seamless interactions on human-computer interfaces like  Vision Pro. Human Interface Devices (HID) is looking for an Interaction Algorithm Engineer to help build the next generation of computing. HID operates at the intersection of hardware, software, and design. The problems you solve will be multidisciplinary and require strong collaboration and communication skills. You'll prototype ideas at the early stages of development and develop robust solutions through production. In this role, you will: - Prototype and define interactions end-to-end, in collaboration with HW, SW, and design partners - Design user studies and leverage prototypes to define success criteria - Develop processes for measuring key performance indicators - Analyze data to identify and drive algorithm improvements - Create and maintain core algorithms for new interactions and root-cause issues throughout the stack - Communicate user impacts of technical challenges to cross-functional stakeholders Minimum Qualifications: 2+ years SW development experience (or equivalent internship / research experience) Proficiency in C++ and Python Proficiency in signal processing and/or machine learning Comfortable with 3D mathematics Experience developing interactions or input technologies Experience using genAI tools for SW development (Claude Code, Cursor, Codex, etc.) Able to communicate clearly and collaborate with cross-functional teams Excellent problem solving and root cause analysis skills BS/MS/PhD in Computer Science (CS), Electrical Engineering (EE), Human Computer Interaction (HCI), or a related field / equivalent experience Preferred Qualifications: Experience developing software with agentic workflows Experience

Senior Researcher - Efficient AI Redmond, WA, US

Senior SoC Power Analysis and Optimization Engineer, Graviton Team Tel Aviv-Yafo, TA, ISR AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture. If you want to be part of a team that's advancing cloud computing technology at scale, join our Power Analysis, Optimization, and Management team, where you'll help develop advanced processors that power Amazon Cloud. We're looking for someone who combines strong technical knowledge in chip design with excellent problem-solving abilities and collaborative skills. Watch these videos to learn more about Annapurna Labs and the Graviton project. AWS re:Invent 2025 - Keynote with Peter DeSantis and Dave Brown: https://www.youtube.com/watch?v=JeUpUK0nhC0 AWS re:Invent 2025 - AWS Graviton https://www.youtube.com/watch?v=haSHl2BLhm8 Key job responsibilities Analyze SoC Power consumption at Pre and Post Si stages Contribute to SoC Power optimization during all stages of Design Cycle Work with variety of teams to impact the quality of SoC power efficiency: Logic & Physical Design, PDN, Post-Si.

Machine Learning Engineer, Asia 2 Locations posted: Posted Today

Senior Applied ML Researcher - Video Apps Cupertino, United States of America We are seeking a Senior Applied ML Researcher to design, train, and deploy state-of-the-art models for visual and audio understanding. You will work on challenging problems at the intersection of computer vision, audio signal processing, and multimodal learning, enabling intelligent systems that can see, hear, and reason about the world. You will collaborate closely with research scientists, engineers, and product teams to find novel applications of Deep Machine Learning capabilities to assist our creative user base. Your mission is to elevate the workflows of millions of creators by combining generative AI with Apple's human-centered design principles. Design and train deep neural networks for video, image, audio, and audio-visual tasks. Build models for audio-visual representation learning, cross-modal alignment, and fusion. Develop solutions for tasks such as: Video understanding and temporal modeling. Audio-visual event detection. Speech, sound, and scene understanding. Multimodal classification, detection, and localization. Minimum Qualifications: MS in Computer Science, Machine Learning, or a related field, or equivalent practical experience 4+ years of experience in deep learning or machine learning engineering strong expertise in deep neural networks and modern training workflows 8 years + Hands-on experience with computer vision and/or audio modeling Proficiency in Python and deep learning frameworks (PyTorch preferred) Solid understanding of linear algebra, probability, and optimization Ability to build intuition from problem statement and translate to dataset requirement, neural network design and loss functions Preferred Qualifications: PhD in computer science, machine learning, or a related field,

Principal Heterogeneous Systems Architect Austin, TX, United States We are seeking a Distinguished Compute Architect to join the CTO Office and lead the conception, prototyping, and evaluation of heterogeneous computing architectures for next generation test and measurement systems. This role sits at the intersection of hardware, software, and system architecture, with a mandate to explore how emerging compute paradigms-CPUs, GPUs, FPGAs, accelerators, and custom silicon-can be applied to radically improve performance, latency, determinism, scalability, and energy efficiency in advanced measurement platforms. As a senior technical leader, you will operate with a high degree of autonomy, partnering across research, product development, and software teams to influence long term technology direction and near term architectural decisions.

Software Dev Manager - AWS IAM, AWS Identity -IAM Control Plane Arlington, Virginia, USA We are looking for a strong Software Development Manager to lead a team responsible for core IAM components - Resource Tagging, Sharing and Access Management. - Manage a team of SDEs building foundational IAM components - Own the technical direction for core IAM components - Resource Tagging, Sharing and Access Management. - Drive cross-team collaboration across AWS organization Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Defining and delivering on long-term product and architecture strategy for Resource Tagging, Sharing and Access Management. - Executing against project plans and delivery commitments; Managing day-to-day activities of the engineering team within an Agile/Scrum environment - Recruiting, hiring, mentoring, coaching, retaining and performance management for a best-in-class engineering team. - Communicating development, quality, operations, and system performance to senior leadership - Ownership and continuous improvement of all operational metrics and automation tools for your team's software. About the team AWS Identity

CPU Core Design Verification Test Generator Lead Austin, Texas, United States; Santa Clara, California, United States Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, we build open, state of the art compute for real workloads and real developers. You will own CPU focused test generator development and verification strategy, shaping how our out-of-order RISC-V CPUs are validated against complex ISA and microarchitectural behavior. This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - You bring 8+ years in CPU design verification, test generation, or closely related CPU validation work. - You have led development of test generators for x86, ARM, or RISC-V ISA environments. - You understand CPU ISA behavior, privileged architecture, and high-performance out-of-order CPU microarchitecture. - You

Software Engineer - C, C++, Dev, Networking Chennai, India; Hyderabad, India About us One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team. What you'll do The successful candidate will work on a mission-critical software development program of work. We are looking for a candidate with a strong software development background as well as team lead, or technical mentorship experience. In this role, you will understand the technical landscape, set the direction for the team, find ways to move forward when obstacles arise. The day-to-day Participate in system design/definition efforts. Drive software design/implementation efforts Participate in DevOps efforts Play an active role in a Scrum team What you'll need 3 to 5 years of software development experiences with Bachelor's degree or higher in Computer Engineering, Computer Science, related field, or equivalent work experience Fluency in mainstream languages such as C / C++, Python Working knowledge of Linux/Unix systems and development environments Broad range of technology interests across different disciplines including computer and system architecture, API design and development, performance analysis, distributed systems design, testing and verification technologies, data processing, cloud computing, and networking Willingness to engage as a DevOps engineer, who can handle the various stages of

Junior System Modeling Palo Alto, CA I US Remote About Unconventional AI We are rethinking the foundations of the computer to optimize energy efficiency for AI. Founded by pioneers in the field - including Naveen Rao (Nervana, MosaicML) and Michael Carbin (MIT, MosaicML) - we are building a new computational substrate that interfaces directly with the physics of silicon to achieve biology-scale efficiency. We recently raised $475M in seed funding to turn this vision into reality. As a Junior Member of Technical Staff, System Modeling , you will work closely with senior engineers to contribute to the development of our multi-disciplinary simulation frameworks. You will assist the hands-on R&D team in building simulation environments that enable rapid iteration and testing across all layers of our unconventional physics-based computing systems for machine learning workloads. Your work will focus on integrating physics-based models, developing GPU-accelerated simulations, and supporting the cross-layer system integration necessary for "Extreme co-design". Key Responsibilities - Contribute to the implementation and optimization of GPU-accelerated simulators for ML on analog/unconventional hardware, focusing on specific modules and features within PyTorch. - Assist in integrating physics-based device and system models into the PyTorch simulation environment to help expose early algorithm-hardware tradeoffs and enable cross-layer optimization. - Support the maintenance and extension of the unified end-to-end simulation environment, helping to link theory, algorithms, and device models, and ensuring alignment between high-level and near-physical simulators. - Help implement and adhere to robust experiment tracking protocols to ensure simulation results, configurations, and non-idealities are reproducible

Senior AI Solutions Engineer - Software Engineering New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Department : Field Engineering - Pre-Sales (Founding) Level: Senior (Staff level considered for exceptional candidates) Domain: Software Engineering (SWE) Location: Strong preference for SF Bay Area but will consider Seattle and NYC. Reports to: CRO (until VP, Field Engineering is hired) Compensation: OTE $260,000 - 320,000 (Senior) or $325,000 - 400,000 (Staff) · 75/25 base/variable split · Equity The Role You will be the first technical partner to Turing's Research Partners selling and demoing custom and off-the-shelf human expert datasets into the frontier AI labs in the software engineering domain. Every major lab is racing to push the frontier on code generation, agentic software engineering, and SWE evaluation. They buy datasets, benchmarks, graders, and expert human expertise from Turing to train,

AI/ML Infrastructure Engineer San Francisco | OnSite The AI Infrastructure team at Zensors builds the engine that powers our visual sensing platform. We provide the tools to automate the lifecycle of our AI workflow, including model development, evaluation, optimization, deployment, and monitoring across thousands of video streams. As a Machine Learning Engineer in ML Runtime & Optimization, you will develop technologies to accelerate the training and inference of computer vision models that power smart spaces and cities. Your responsibilities will include: - Optimizing Core ML Pipelines: Identifying key bottlenecks in our current video analytics pipeline and performing in-depth analysis to ensure the best possible performance on current server and edge compute architectures. - Cross-Stack Collaboration: Collaborating closely with AI research and platform engineering teams to optimize core parallel algorithms and influence the design of our next-generation inference infrastructure. - Model Acceleration: Applying advanced model optimization techniques-such as quantization (Int8/FP16), pruning, and layer fusion-to our Vision Transformers (ViTs) and CNNs to maximize throughput and minimize latency. - Building Efficient Operators: Working across the entire ML framework/compiler stack (e.g., PyTorch, CUDA, TensorRT, and NVIDIA DeepStream) to write custom optimized ML operator libraries. - Resource Efficiency: Reducing the compute cost per video stream to enable massive scalability of our SaaS product. - Data Management: Building, improving, maintaining, and operating systems to facilitate the collection, labeling, and use of visual data for ML training. REQUIREMENTS - BS/MS or Ph.D. in Computer Science, Electrical Engineering, or a related discipline. - Strong programming skills in C/C++

Systems Engineer, ESC Managed Operations Dublin, IRL AWS is set to introduce the inaugural European Sovereign Cloud (ESC), marking a significant development in utility computing (UC). To spearhead this initiative, we are actively seeking experienced systems engineers with a strong background in automation and operations. As part of the AWS Managed Operations team, you will play a pivotal role in building and leading operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Your responsibilities will encompass overseeing the launch of the ESC in 2025, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring improvements in availability, reliability, latency, performance, and efficiency of the ESC. You will be required to occasionally participate in “on-call” rotations to resolve incidents occurring out-of-hours. The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in building a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation. Utility Computing (UC) European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product innovations - from foundational services

Applied Machine Learning Engineer New York, NY; San Mateo, CA About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role: As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions. Key Responsibilities: - Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. - Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology. - Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. - Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues. - New Model Enablements: Integrate

Associate Backend Engineer Ho Chi Minh, , Vietnam Company Description: Job Description: Embedded Processing Group (DFT): Do DFT tasks MPU/MCU product, including Implementation and improving test coverage, verification, DFT SDC (timing constraint) design, Tester pattern making, Tester pattern debugging, ... Work closely with the FE/BE teams to complete the chip design within the defined schedule. High-Performance Computing Group (Physical Design) Physical Design: physical synthesis, place & route, timing closure, and timing/physical verification for IP, CPU, and Chip design. Qualifications: Undergraduate/Fresh graduate (for fresh engineer positions) majoring in Electronics, Telecommunications, Mechatronics, Automation, Computer Science, Computer Engineering, Information Technology, Mathematics, and Physics. Good at English in writing and speaking skills, distinguished competence, consistent pursuit of excellence, professional behavior, and good relationships with others and society. Have experience for one of related fields: HW FE/BE design (Logic architecture, Clock architecture, TPI), solid knowledge in using EDA tools (Synopsys, Cadence, Tessent, ...) are advantage Have a strong passion in the technical field, especially in chip design. Have logical thinking and explanation; be serious and mature in working attitude Long-term working commitment 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 Power. With a diverse team of

Member of Technical Staff, Cloud Infrastructure New York, NY; San Mateo, CA About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role: As a Software Engineer on our Cloud Infrastructure team, you'll be at the forefront, architecting and building the foundational systems that power Fireworks AI's revolutionary generative AI platform. You'll spearhead the creation of one of the world's first virtual clouds, seamlessly serving AI workloads across the globe and every cloud provider. Your mission: to deliver unparalleled reliability, efficiency, and scalability, fueling the world's most innovative AI products.This is a highly technical role requiring deep expertise in distributed systems, cloud-native infrastructure, and machine learning platforms. You'll partner closely with engineering partners, product teams, and infrastructure stakeholders to design solutions that balance performance, cost-efficiency, and operational simplicity across compute, storage, and networking layers. Key Responsibilities: - Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines. - Lead technical design discussions, mentor other engineers, and establish best

Senior Machine Learning Engineer Bengaluru, KA, India Company Description: Job Description: Summary: The Senior ML Engineer, working as part of Wabtec's Digital Advanced Technologies (DAT) team will be responsible for architecting and deploying new advanced AI computer vision solutions throughout the freight and passenger transportation industry. DAT is a cross-disciplined entrepreneurial group that carries out applied research in AI/ML, designs and deploys cutting edge algorithms and new digital solutions throughout the Wabtec portfolio of businesses. The candidate will work closely with DAT's ML engineers and Wabtec's cloud architects to deploy scalable machine learning and deep learning solutions in cloud and edge video analytics, robotics and automation systems. Experience & Qualifications: Masters in engineering, Physics, Chemistry, Mathematics, Robotics or Computer Science from an accredited university or college, or relevant and significant industry experience. Experience in the fields of AI/ML product development, generative AI, MLOps, edge computing Experience and proficiency in writing production worthy code python, GO or similar languages. Proficient with deep learning frameworks - (Open CV, TensorFlow, PyTorch, HuggingFace, Langchain) A minimum of 4 years of experience as a data scientist, machine learning or computer vision engineer Hands on experience with LLM architectures, fine-tuning LLMs, RAG based applications, vector databases Exposure to AWS model oriented services deploying and orchestrating ML/LLM workloads on Bedrock or Sagemaker services. Has had experience in deploying scalable AI solutions that solve industry problems Strong interpersonal, leadership and communication skills A critical thinker that can quickly understand a new problem space and apply analytic techniques to

Applied AI Engineer