Lab Technician Jobs

About the Team The Cooperative AI team is scaling to devices and embedded operations and user experiences. Our model-powered scaled workforce and knowledge system are moving on to the edge and powering our devices and edge experiences. By leveraging OpenAI’s state-of-the-art models and technologies, in production and in the lab, we develop systems that reason and work autonomously with customers and with our workforce responsible for operational work. We carry real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and now devices to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a Technical Lead Manager to lead a team of engineers building AI-native embedded experiences and operations-forward systems. In this role, you will perform both hands-on technical leadership and small team management. You will drive business outcomes, architecture and technical strategy for complex systems, contribute directly to implementation, and help grow a high-performing team. You will work closely with internal stakeholders to understand operational challenges, identify high-leverage opportunities for automation, and deliver solutions that create measurable impact. This role is ideal for someone who enjoys moving between technical design, coding, mentoring engineers, and working directly with users t

1671 About the Role We are seeking a Senior Signal Integrity Engineer to develop, validate, and optimize high-speed signaling solutions across blade- and rack-level architectures for advanced compute platforms. This role sits at the intersection of silicon, package, interconnect, board, and system design , with a strong emphasis on hands-on measurement, simulation correlation, and cross-functional technical communication. Key Responsibilities End-to-end signal integrity analysis for blade- and rack-level system architectures. Analyze and optimize high-speed and low-speed I/O interfaces, including PCIe Gen4/5/6, Ethernet, DDR, SerDes, SPI , I2C, etc . and related interconnects. Perform time-domain and frequency-domain simulations using tools such as Ansys HFSS, Keysight ADS, Cadence Sigrity, CST, SPICE , or similar. Support hands-on lab validation using VNA, TDR, BERT, and high-speed oscilloscopes . Correlate simulation results with lab measurements to identify margin gaps, debug issues, and improve design methodology. Collaborate with silicon, package, board, connector, cable, and system design teams to optimize I/O channel performance. Work with interconnect vendors and ODMs to guide board layout, stack-ups, routing rules, and system design decisions. Review schematics, layouts, simulation results, and validation data for blade, backplane, and rack-level hardware. Prepare and communicate clear validation reports, measurement summaries, debug findings, and technical recommendations to internal teams, vendors, and senior technical stakeholders. Required Qualifications Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field . Strong experience in signal integrity for high-speed digital systems. Hands-on measurement expertise using VNAs, TDRs, BERTs, and high-speed oscilloscopes . Experience measuring and analyzing S-parameters, impedance profiles, eye diagrams, jitter, timing margins, insertion loss, return loss, and cro

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About This Role We're looking for a Staff HR Business Partner to build and own the people strategy for Snorkel's Data as a Service (DaaS) organization. This role is hybrid ( 3 days/week in office) in San Francisco, CA . The DaaS org is a delivery-first team that has more than tripled in size over the last six months, with no signs of slowing. They deliver high-quality data operations and AI deployment outcomes for frontier labs and AI teams. This org has a unique composition: forward deployed engineers, technical and operations delivery managers, a supply team managing a workforce comprised of multiple worker types at scale, and others. The people challenges here require an HRBP who has seen this kind of complexity before, such as workforce planning across FTEs and contractors, building a high performance culture rooted in delivery outcomes, and keeping a geographically dispersed, operationally complex team connected to Snorkel's culture. You'll partner directly with our DaaS GM and leadership team, and you'll need to be as comfortable in the operational weeds as you are in strategic conversations. The ideal background is professional services, managed services

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Technical Lead to lead deployment and operations for OpenAI’s Silicon & Systems team. This person will become the Directly-Responsible Individual responsible for bringing OpenAI’s custom silicon and associated systems into data center environments, ensuring successful deployment, bring-up, validation, operational readiness, and ongoing reliability at scale. This role sits at the intersection of silicon, systems, infrastructure, data center operations, and software. You will lead a team focused on taking new hardware platforms from lab validation into production data center deployment. You will be responsible for building the operational processes, technical workflows, tooling, and cross-functional alignment required to deploy and operate custom AI hardware reliably in OpenAI’s supercomputing infrastructure. The ideal candidate is both a strong leader and a deeply technical operator. You should be comfortable staying close to the technical details of hardware bring-up, fleet deployment, debugging, system validation, data center integration, and production operations. This role requires strong execution, excellent cross-functional judgment, and the ability to drive clarity in ambiguous, fast-moving environments. In this role, you will: Lead a team responsible for deployment and operations of OpenAI’s custom silicon and systems in data center environments Own the path from hardware bring-up and validation through production deployment, operati

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The DRAM Technology group at Micron Technology develops and validates advanced memory solutions that enable the transformation of information into intelligence. The team operates in a collaborative, inclusive, and globally distributed environment, partnering closely with design, product, test, process, manufacturing, and quality organizations to deliver industry‑leading DRAM technologies. The Design Validation Product Engineer supports the validation of new DRAM products by focusing on real‑silicon behavior through bring‑up, characterization, and debug. This role builds a strong technical foundation in DRAM architecture, semiconductor devices, and validation methodologies while working closely with multi-functional engineering teams. Responsibilities Support DRAM design validation through silicon bring‑up, characterization, and validation testing of new memory products Analyze electrical and functional data to identify trends, marginalities, and failure mechanisms Assist with debug of validation issues using simulations, test results, and laboratory measurements Use engineering lab equipment and testers to characterize device behavior and performance Document validation results, test coverage, and observed behaviors while collaborating with design, test, manufacturing, and quality teams Minimum Qualifications Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field Strong fundamentals in digital logic,

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work. You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time. This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational wor

You define how the codebase is built. On-site | Vancouver Office – 675 W Hastings St. The Problem We're Solving EviSmart is building the unified dashboard platform where every product surface comes together — the interface lab owners use to manage cases, access analytics, and launch AI-powered tools. It doesn’t have a frontend foundation yet. What exists is a clear product direction, a backend that’s ready to connect, and an engineering team that needs someone to draw the lines before anyone starts building. Why EviSmart 300 people. Two hubs: Vancouver HQ and Manila operations. 145% year-over-year SaaS growth — the market is responding. 28 countries. One platform. The dental industry's Autopilot. An in-house AI model research and development team building proprietary intelligence. Why This Role, Right Now Most senior frontend engineers join products with foundations already in place — someone else made the hard calls, and your job is to build within them. This is the opposite. There is no existing dashboard frontend, no technical debt to inherit, and no architectural decisions that constrain you yet. The person who joins now makes the foundational choices that the entire frontend team builds on for the next several years. The first product milestone is aggressive, the customer base is real and global, and the backend is ready. What doesn’t exist yet is the engineer who sets the direction. A Note from the Team “We’re not looking for someone who needs a clear spec before they can move. We need someone who can audit what exists, make a recommendation, and execute on it. If you’ve been the person who sets the technical direction that your team builds on, and you want to do that at a scale that actually matters, this is that conversation.” — Paolo Kalaw, CEO, EviSmart What You’ll Own Own the React JS / TypeScript frontend architecture for a new dashboard platform — the unified interface where all products connect. De

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team The AI Cluster Production Engineering team is part of the AI Compute Platform organization at Biohub, a non-profit research lab committed to open science and open-source AI. We own the design, operation, and reliability of large-scale multi-GPU AI clusters that power frontier AI biology research: protein language models, genomic foundation models, and scientific reasoning systems built to be shared, not monetized. Our clusters run Slurm on Kubernetes infrastructure and support everything from day-to-day AI researcher workflows to multi-node hero training runs at thousands of GPUs. The team works at the intersection of AI tooling, distributed systems, HPC, and frontier AI, debugging deep AI infrastructure problems and building AI systems critical to the entire AI organization. The Opportunity CZ Biohub's mission is to cure or prevent all human disease. Achieving that requires training frontier-scale AI biology models, and that demands reliable, high-performance compute infrastructure. This is production engineering work at a frontier AI lab, with the twist that the mission is biology and the science is open. You'll keep GPU clusters running at high utilization, debug the toughest distributed systems failures, and build the operational foundations for scaling to multi-thousand GPU hero runs. The technical problems are genuinely hard (e.g., multi-node distributed training, InfiniBand fabrics, large-scale storage, Slurm at scale) inside an organization where the work is aimed at helping peop

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We’re looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. In this role, you will: Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows. Collaborate closely with product, research, and engineering teams to integrate OpenAI mode

Job Title: Locum Non-Invasive Cardiac Physiologist Banding: Band 6 Location: Watford Working Hours: Full-time Start Date: ASAP Rate: £25 - £30 per hour Duration: On going The Clinical Physiology team at Pulse is seeking a dedicated and skilled Band 6 Non-Invasive Cardiac Physiologist to join our team in Watford. This is a full-time position available immediately. The successful candidate will be responsible for independently analysing Spacelabs Holter monitors. What will your responsibilities be? You will have a degree and be registered in Cardiac Physiology. You will demonstrate comprehensive knowledge of cardiac anatomy, conditions, and pathologies. Perform resting 12-lead ECG acquisition and interpretation to SCST standards. Set up and fit various ambulatory ECG monitors. Set up and fit ambulatory BP monitors. Conduct advanced technical analysis of ambulatory ECG data. Independently produce ambulatory ECG reports to a highly professional standard. Qualifications and Experience: Essential: Relevant qualifications and experience in cardiology. IBHRE or BHRS accreditation is essential. At least 2 years of experience in a similar role. Proven experience in analyzing Spacelabs Holter monitors. Strong analytical and problem-solving skills. Cath lab skills Desirable: Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Ability to work both independently and as part of a team. Commitment to patient care and safety. Why work with Pulse? From the moment you register with us, our focus is entirely on you. During our first conversation, you’ll quickly see that we understand your specialty inside and out. Our expert recruitment consultants are dedicated to finding you the best opportunities and supporting you every step of the way to secure the perfect placement. With our preferred or sole supplier status with many clients, you’ll have access to exclusive opportunities that you won’t find anywhere else. We always

Flight Test Engineering Manager Company: The Boeing Company We are seeking a Flight Test Engineering Manager to join the Boeing Test & Evaluation (BT&E) team supporting the Mobility Surveillance and Bombers (MS&B) portfolio in Oklahoma City, OK . In this role, you will lead the team responsible for planning, integrating, and executing flight test and system test activities for Boeing’s Airborne Warning and Control System (AWACS) programs. This role combines technical leadership, program execution, and people development, requiring a leader who can build high-performing teams, foster collaboration across engineering disciplines, and drive disciplined test execution in a dynamic environment. You will partner closely with internal and external stakeholders to deliver safe, efficient, and high-quality test outcomes while developing the next generation of flight test engineers. Why Join Us: Lead a high-impact Flight Test Engineering team supporting AWACS programs, influencing program test strategy and execution on mission-critical platforms Join a close-knit Flight Test community where teamwork, trust, and collaboration are essential to safely executing complex test programs Partner with cross-functional engineering, operations, program management, and customer teams to solve complex technical challenges and deliver safe, efficient, and high-quality test outcomes Position Responsibilities: Develop and coach a diverse team of engineers and mission systems operators by providing technical guidance, performance management, mentoring, and career development Lead the planning integration, and execution of lab, ground, and flight tests while ensur

Electro-Optical/Infrared Signature Analyst Engineer (Mid-Level or Senior) Company: The Boeing Company The Boeing Defense, Space & Security (BDS) - Phantom Works organization is seeking an Electro-Optical/Infrared Signature Analyst Engineer (Mid-Level or Senior) to join the Phantom Works team located in St. Louis, MO. This is a great opportunity to work on new systems and technologies as part of an integrated product team. This position will apply knowledge of advanced infrared and electro-optical signature design, analysis, integration, and test techniques for system integration. Candidates will apply electromagnetic theories and principles to develop new and innovative systems and components for next generation platforms. This job requires both hands-on and deskwork. Position Responsibilities: Perform design, analysis, and integration activities for technology and design integration of EO/IR design practices into advanced platforms Assist in developing and documenting requirements for electromagnetic systems and components Perform modeling and simulation of EO/IR performance for design optimization and validation Generate design influence initiatives and direct design trade studies that may result from those initiatives Work with suppliers and customers (internal and external) to ensure compliance, verification, and validation with technical requirements Support and execute test plans and validation activities (lab and range) to verify performance and support correlation between simulation and measurement Collaborate with multidisciplinary teams (structures, propulsion, materials, flight test, systems engineering, producibility) to ensure integrated soluti

About the Role As the Sr. Partnerships Manager for US Model Labs, you will own Together AI's relationships with the most influential model builders in the United States: frontier labs, the AI research organizations inside the hyperscalers and major platform companies, chipmakers with their own model programs, and the well-funded independent labs shaping the open-weights landscape. These are the partners whose releases move the market, and your job is to make sure Together AI is the platform they launch on, build with, and route developers to. This is a portfolio of a small number of very large, very complex accounts. Unlike a broad ecosystem role, success here is measured in depth rather than breadth: multi-threaded relationships across research, product, legal, and business teams; deals that often bundle model distribution with compute, co-marketing, and joint go-to-market; and the trust required to get early access to models before they ship. You will sit at the intersection of Product, Engineering, Finance, and Marketing, and you will frequently be the person in the room representing Together AI to organizations many times our size. You are a strategic deal-maker who is comfortable in long, ambiguous cycles with sophisticated counterparties, and who can turn a single relationship into a durable, expanding partnership. Responsibilities Own the US lab portfolio: Build and execute the partnership strategy for a defined set of major US model labs, including account plans, executive engagement, and a clear view of each lab's roadmap and where Together AI fits in it. Land flagship launches: Secure day-zero (or day-one) availability of the most anticipated model releases on the Together platform, coordinating pre-release access, technical bring-up, legal, and launch marketing so we ship alongside the lab. Multi-thread across large organizations: Navigate research teams, product leads, developer relations, alliances and partner programs, legal, and executive sponsors to

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is building a dedicated function to drive its partnerships across the AI ecosystem — labs, AI-native companies, and the investor community — and convert those into real technical and commercial outcomes. This is a newly created, high-visibility role that sits at the intersection of strategic business development, product partnership, and ecosystem relationship-building. Ramp is already embedded with key partners across the AI ecosystem, from working with leading labs on the latest models to serving as a design partner for emerging product capabilities. This role exists to deepen those relationships across every major lab and AI-native company, and turn them into something commercially meaningful. There is no playbook for this. This person will own and grow Ramp's most strategic relationships across the AI ecosystem, leading the technical side of those relationships end to end with partner product and engineering teams. The mandate spans product integrations, technical partnership strategy, deal-making, co-selling, and the creatio

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We make sure Micron DRAM performs where it matters most: inside next-generation servers, client systems, and emerging compute platforms. Our team works at the intersection of memory technology, silicon behavior, platform architecture, firmware interaction, and system-level validation. We partner across engineering fields to bring new memory products from initial platform bring-up through qualification and readiness, helping develop the future of computing. In this role, you will validate Micron DRAM products on cutting-edge compute platforms and play a key role in ensuring system readiness before customer deployment. You will lead complex debug efforts, collaborate with internal teams and external platform partners, and use data-driven analysis to solve challenging technical issues. This hands-on position is ideal for an engineer who enjoys working in the lab, uncovering root causes, and driving issues through resolution. Responsibilities : Lead platform bring-up and system debug across server, client, and emerging compute platforms, including BIOS, firmware, memory training, and system stability Develop and implement memory validation plans to assess performance, compatibility, reliability, and platform readiness Drive failure analysis and root cause investigations, documenting findings, corrective actions, and readiness risks Partner with engineering, product, quality, and program teams to resolve technical issues and support pr