Vector jobs

Infrastructure Engineer - Observability (APAC) APAC | Remote We are seeking a seasoned infrastructure operations expert that has experience with orchestrating high-throughput data services. Experience that showcases high availability and systems reliability skillsets in high volume data pipeline environments are a big plus. WHAT YOU'LL OWN - Collaborate deeply with our infrastructure and product teams to enforce org-wide practices for emitting and collecting telemetry across a wide range of services, both internal and external-facing. This includes contributing to org-wide documentation, advocacy of best practices and helping to enforce standards org-wide. - Own and operate the Kubernetes infrastructure of the observability team. You will help in defining the documentation, operational flows, and engineering standards to ensure high uptime across our logging, tracing, and metrics systems that are used by internal and external stakeholders - Work within the Observability team to ensure industry-standard deployment and reliability practices are used, and to develop industry-leading reliability software to ensure that our observability systems never go down for our customers. - Orchestrate and scale systems such as VictoriaMetrics, OpenTelemetry Collector, and Vector. WHAT YOU BRING - 5+ years of experience in a Site Reliability Engineering role - Experience operating and supporting clustered applications in production environments - Hands-on experience deploying and managing applications in Kubernetes (k8s) environments - Working knowledge of PostgreSQL, including administration, performance tuning, and troubleshooting - Proficiency with at least one Infrastructure as Code (IaC) tool (e.g., Terraform, Pulumi, OpenTofu, or equivalent) - Experience with telemetry tooling such as OpenTelemetry, VictoriaMetrics, Grafana,

Senior Machine Learning Engineer 2 Locations posted: Posted 30+ Days Ago

Software Engineer, Database Systems San Francisco, California, United States About the Team: The Database Systems team specializes in high-performance distributed databases. Our team built Rockset, the real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. In addition to retrieval, as an online database, Rockset powers core functionality across all of OpenAI's product lines and many critical internal use cases. About the Role : We are looking for engineers passionate about distributed systems, close-to-the-metal performance optimization (our core engine is written in C++), and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude. In this role you will: - Design, build, and operate high-performance distributed systems - Identify and resolve performance bottlenecks to scale infrastructure to the next order of magnitude - Define long-term technical direction and guide system evolution - Collaborate with product, engineering, and research teams to deliver scalable and reliable infrastructure - Dig deep into complex production issues across the stack - Contribute to incident response, postmortems, and best practices for system reliability You might thrive in this role if you: - Have significant experience building, scaling, and optimizing distributed systems at scale - Are curious about database internals, storage

CVML Algorithm Engineer Sunnyvale, United States of America Want to ship amazing experiences in Apple products? Be part our team that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. We have delivered biometric features such as Face ID and Optic ID as well as many other computer vision algorithms powering Apple Vision Pro, iPhone, and iPad. We focus on a balance of research and development to deliver Apple quality, state-of-the-art experiences. Come shape Apple products as a driven and dedicated CVML Algorithm Engineer to push the limits of biometric ML algorithms with hands-on work and real world and simulated data, in an innovative team and be part of building the next big thing. As a algorithm engineer, you will collaborate with an outstanding group algorithm engineers, software engineers, and our hardware engineering partners to develop new technologies for Apple's next generation products. The focus will be innovating and delivering effective, efficient and well-tested computer vision based solutions from prototyping to shipping that are often deployed on edge devices. Besides domain expertise and technical knowledge the ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in an outstanding team where your skills and expertise can be used to influence future user experiences and hardware that will be used by millions. Collaborate with data team to

RISC-V CPU Microarchitecture / RTL 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. RISC-V CPU RTL owner will play a key role in developing next-generation CPU design. This position requires a deep understanding of CPU design including Architecture, RTL, Design Verification, Physical Design Flow. The ideal candidate will drive the unit specification, RTL design, and unit verification. This role is Remote, based out of The United States. 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. Key Responsibilities: - RISC-V CPU Unit Microarchitecture Specification: Define and develop microarchitecture specifications for the assigned unit (branch predictor, rename, instruction scheduling, vector execution, load/store, vector load/store support). The specification includes not only design, but also comprehensive analysis / strategy for verification and PPA (power, performance, area) closure. - RISC-V CPU Core Unit RTL Design: The candidate will be

12 - Principal, Design Engineering City San Jose | State/Province California | Country USA Req ID: 131895 Region: Country USA State/Province: State/Province California City San Jose Detailed Description - AI Architecture & Development: Lead the hands-on design and coding of RAG (Retrieval-Augmented Generation) architectures and agentic workflows. Build systems that allow hardware engineers to "query" complex design rules and legacy data with high accuracy. - Engineering Data Strategy: Write custom Python scripts and parsers to extract structured intelligence from diverse sources, including PDF datasheets, EDA output files, Netlists, and complex block diagrams. - Model Optimization & Tuning: Execute fine-tuning runs for foundation models (e.g., Gemini/Vertex AI) using proprietary historical data to create a domain-specific expert model for hardware design. - Multimodal Analysis: Develop capabilities for AI to interpret visual engineering data, such as thermal heatmaps, mechanical drawings, and circuit diagrams, to automate technical documentation and manuals. - Predictive Analytics: Implement "Shift-Left" algorithms that utilize historical yield and manufacturing data to predict potential defects during the early stages of the design cycle. - Vector Database Management: Build and optimize the vectorization pipeline (using Pinecone, Milvus, or similar) to ensure the AI can retrieve specific design rules without "hallucinations." - Technical Leadership: Act as a subject matter expert (SME) for AI/ML within the engineering organization, providing guidance on tool integ

AI Engineer Toronto, ON, Canada AI Engineer

Staff Engineer- Electrical Pleasanton, California, United States About IonQ: IonQ, Inc . [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. About Vector Atomic Vector Atomic, an IonQ company, is building quantum technology to transform navigation, timing, geophysical exploration, and telecommunications. Our team of engineers, scientists, software developers, and operations professionals works together to solve complex challenges and turn bold ideas into real-world solutions. We value collaboration, curiosity, and diverse perspectives, and we give every team member the opportunity to make an immediate impact while growing their skills. If you're excited to work on breakthrough technology in a fast-paced, hands-on environment, we'd love to hear from

Machine Learning Engineer UK_London2 posted: Posted 30+ Days Ago

Senior Machine Learning Engineer 2 Locations posted: Posted 30+ Days Ago

Principal AI/ML Platform Engineer (CA) Mississauga The Team This team will serve as the product owner for GenAI capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support generative AI solutions. This centralized team with deep specialization, closely integrated with key horizontal partners to ensure delivery of safe, scalable and high-impact AI Products Job summary The Principal AI/ML Platform Engineer will focus on building the infrastructure that connects AI systems with existing products and will enable seamless delivery of AI-generated insights into agent workflows. Key responsibilities. - Design, build, and maintain the core infrastructure layer supporting GenAI products, including model gateways, prompt/versioning stores, vector databases, and LLM evaluation tools. - Implement secure access controls and authentication mechanisms integrated by default into the AI platform components. - Develop and manage observability, monitoring, and logging solutions for GenAI workloads and infrastructure. - Collaborate closely with product and engineering teams to integrate GenAI infrastructure with agent frameworks, and downstream applications. - Optimize infrastructure for scalability, high availability, cost efficiency for production workloads. Qualifications & Skills - Extensive experience building and maintain AI platform infrastructure, Kubernetes, and container security. - Demonstrated expertise in observability, and monitoring frameworks, with a focus on real-time performance (i.e: experience with OpenTelemetry, MLFlow). - Experience with AI infrastructure components such as vector databases, prompt/versioning stores, and AI IDEs. Preferred experience - Familiarity with vLLM, SGLang or similar framework to host LLM inference workloads. - Experience with CI/CD pipelines and automation for AI

Senior Engineer - Electrical Pleasanton, California, United States About IonQ: IonQ, Inc . [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. About Vector Atomic Vector Atomic, an IonQ company, is building quantum technology to transform navigation, timing, geophysical exploration, and telecommunications. Our team of engineers, scientists, software developers, and operations professionals works together to solve complex challenges and turn bold ideas into real-world solutions. We value collaboration, curiosity, and diverse perspectives, and we give every team member the opportunity to make an immediate impact while growing their skills. If you're excited to work on breakthrough technology in a fast-paced, hands-on environment, we'd love to hear

Software Engineer - ML Infrastructure San Mateo, CA, Remote, New York, NY About the Team We're a tight-knit team of proven drug hunters, deep learning researchers, and software engineers united by a common mission - drive AI innovation in biochemistry, discovering and developing groundbreaking therapies for patients suffering from severe disorders. Genesis AI team is focused on developing foundation models for small molecule drug discovery by conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, as well as engineering robust software systems that enable running large scale simulations and training generative and predictive AI models designed to learn from all kinds of molecular data, leveraging our cluster with 1000s of GPUs and 10,000s of CPUs. About the Role We're seeking experienced ML infrastructure engineers to join the team and lead engineering efforts focused on driving forward our ML research agenda for generative modeling of molecular systems, which is instrumental to our mission. As an engineer at Genesis, you will lead rapid iteration on our AI platform and infrastructure, unlocking the next level of performance, efficiency, and scale that was not previously possible. You will build massively distributed training and inference pipelines, core MLOps tools and frameworks, and optimize GPU operations to speed up ML models. Genesis is a highly-collaborative and cross functional environment, and you will work in close partnership with our exceptional engineers, researchers, and scientists. You Will - Lead engineering efforts focused on continuous improvement of the AI platform, focused on rapid build out

Intern, Machine Learning Developer Toronto, ON, CAN posted: Posted 2 Days Ago

Principal AI/ML Platform Engineer (US) Remote, USA The Team This team will serve as the product owner for GenAI capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support generative AI solutions. This centralized team with deep specialization, closely integrated with key horizontal partners to ensure delivery of safe, scalable and high-impact AI Products Job summary The Principal AI/ML Platform Engineer will focus on building the infrastructure that connects AI systems with existing products and will enable seamless delivery of AI-generated insights into agent workflows. Key responsibilities. - Design, build, and maintain the core infrastructure layer supporting GenAI products, including model gateways, prompt/versioning stores, vector databases, and LLM evaluation tools. - Implement secure access controls and authentication mechanisms integrated by default into the AI platform components. - Develop and manage observability, monitoring, and logging solutions for GenAI workloads and infrastructure. - Collaborate closely with product and engineering teams to integrate GenAI infrastructure with agent frameworks, and downstream applications. - Optimize infrastructure for scalability, high availability, cost efficiency for production workloads. Qualifications & Skills - Extensive experience building and maintain AI platform infrastructure, Kubernetes, and container security. - Demonstrated expertise in observability, and monitoring frameworks, with a focus on real-time performance (i.e: experience with OpenTelemetry, MLFlow). - Experience with AI infrastructure components such as vector databases, prompt/versioning stores, and AI IDEs. Preferred experience - Familiarity with vLLM, SGLang or similar framework to host LLM inference workloads. - Experience with CI/CD pipelines and automation for

Senior ML Engineer - Firefly Bucharest posted: Posted 30+ Days Ago

Test Specialist, Silicon Assembly (Starlink) Bastrop, TX SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. TEST SPECIALIST, SILICON ASSEMBLY (STARLINK) One of the most ambitious missions that SpaceX has undertaken to date, the Starlink satellite constellation, is our solution to providing reliable internet to the entire world. In true SpaceX fashion, Starlink is taking the next step in vertical integration by bringing integrated circuit packaging and assembly in-house for development and manufacturing. You will work closely with IC packaging engineers, test engineers, equipment manufacturers and leadership. The success of Starlink depends on the quality, reliability, cost, manufacturability, throughput, and security of the products that you deliver. If you seek a fast-paced, dynamic environment; if you thrive on solving difficult problems where resolutions have high impact; and if you love the challenge of building something from scratch, then this role will be an ideal next career step. RESPONSIBILITIES: - Partner with the engineering team on integration & process of record (POR) definition - Perform recipe development, automated equipment programming, and validation - Perform wafer-level probing and testing using DC/RF probe stations, parametric analyzers, and vector network analyzers (VNAs) to measure I-V characteristics, capacitance, RF insertion loss, and return loss on individual dies - Execute package-level RF testing on assembled devices, including high-frequency

Computer Vision Software Developer, II Wroclaw, Poland posted: Posted Today

Product Line Manager, Lasers and Laser Engines Wilsonville, OR, United States This customer-facing position develops plans for and manages part of Coherent LSM's Laser/ Laser Engine product offerings. In this role, you will develop, manage and promote plans and activities to drive and grow your products that represent the primary growth vector for this Division. Acting as Product evangelist and champion, you will, in conjunction with other functional Groups, manage your products, to include organization of strategies developed through market review and assessment, revenue and performance tracking, pricing strategies, management of communication and escalations, continual review of customer needs and satisfaction and improvement of processes

Full‑Stack Machine Learning Engineer UK - London (London Wall) posted: Posted Yesterday

Sr. Software Engineer II - AI Tooling and Interfaces - Rockerbox United States Who Are We Rockerbox is building the next generation of marketing intelligence, and we're looking for someone to help us build the AI systems everyone else just theorizes about. As a Sr. Software Engineer II in AI Tooling and Interfaces, you'll design and build systems purpose-built for AI agents, automations, and decisioning engines that drive real outcomes for our clients and internal teams. If you enjoy turning high-volume data into clean, powerful systems-and you want your work to drive real business outcomes rather than just dashboards-this role puts you right at the center of the action. What You'll Do - Work closely with engineers, product managers, and data teams to identify and prioritize AI opportunities across the organization. - Translate product requirements into AI-driven solutions that directly impact the client experience. - Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive tasks and unlock new client-facing capabilities. - Design and implement agentic workflows and orchestration pipelines that automate complex, multi-step processes. - Design retrieval, orchestration, and memory layers that make our AI agents smarter over time. - Establish best practices for AI data quality, observability, and safety. What You Bring - 6+ years of experience in software engineering, data engineering, or large-scale distributed systems. - Hands-on experience integrating LLMs into production systems (embeddings, RAG, vector stores, or agent orchestration). - Strong proficiency in Python and SQL. - Experience with Kubernetes and container-based infrastructure

AI for Science Residency - Machine Learning Resident Berlin, BE, DE, Cambridge, England, GB, Amsterdam, NH, NL

Senior MLOps Engineer, LLMOps North America | Remote BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The AI Engineering Team is chartered with enabling next-generation AI applications, with a special focus on Large Language Models (LLMs) and agentic systems. Our mission is to build robust pipelines, high-performance infrastructure, and operational tooling that allow AI systems to be deployed with speed, safety, and scale. We manage petabyte-scale pipelines, serve models with millisecond-level latency, and provide the observability and governance needed to make AI production-ready. We're also deeply involved in evaluating and integrating cutting-edge tools in the LLM and agent space - including open-source stacks, vector databases, evaluation frameworks, and orchestration tools that unlock TRM's ability to innovate faster than the market. As a Senior MLOps Engineer with a focus in LLMOps, you'll be at the core of building and scaling the technical infrastructure for AI/ML systems. You will: - Build reusable CI/CD workflows for model training, evaluation, and deployment - integrating Langfuse, GitHub Actions, and experiment tracking, etc. - Automate model versioning, approval workflows, and compliance checks across environments. - Build out a modular and scalable AI infrastructure stack - including vector databases, feature stores, model registries, and observability tooling. - Partner with engineering and

AI Engineer AI Engineer