Probe Equipment Engineer Jobs

About the job Debug the high-speed interfaces that decide whether advanced AI systems perform in the real world. As a Validation and Debug Engineer, you will help prove Graphcore silicon and platforms work across real product conditions. You will build deep knowledge of our devices, boards and system behaviour. You will own hands-on validation and debug in the lab, focused on SerDes, PCIe Root Complex and Ethernet. Your work will help resolve complex issues across silicon, hardware, firmware and architecture teams. This role is for someone who enjoys getting close to the hardware. You will tune links, investigate failures and turn difficult lab findings into clear engineering decisions. The team and culture You will work closely with Architecture, Silicon Engineering, Hardware Engineering and Firmware. Progress comes through practical evidence, clear communication and fast problem solving. The team expects ownership without daily oversight. You will drive bring-up, debug issues and help teams reach decisions based on data. You will be trusted to speak up when something is unclear or risky. The best ideas can come from anyone close to the problem. What we’re looking for · Strong hands-on hardware validation experience, including board bring-up and subsystem debug · Experience validating and debugging Ethernet, PCIe Root Complex and SerDes systems · Confident use of lab instrumentation, including oscilloscopes, BERT systems, VNA/TDR equipment and PCIe protocol analysers · Ability to debug signal integrity, protocol-level and interface issues through to root cause · Experience with PCIe bring-up, LTSSM analysis, link training, equalization tuning and interoperability testing · Ability to work independently, take responsibility and drive issue resolution across teams While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how you

About Us Are you ready to build the future of the supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery. If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team You’ll be part of our Engineering organization, working closely with our Full Stack and WMS integration teams. The group builds and operates the production systems behind Gather AI’s warehouse intelligence platform, including APIs, integrations, data pipelines, databases, and application services used by our customers and internal teams every day. This is a small, distributed engineering team where engineers work across a broad technical surface area and have the opportunity to see their work through the full software development lifecycle, from design and development through deployment, production monitoring, troubleshooting, and improvement. About the Role We are hiring an SDE II, Full Stack, for our India-based team. You'll build and run the web platforms behind Gather AI's products - Drone Vision, MHE Vision and SAGE, from the customer-facing dashboards down to the APIs, Integration layers and data pipelines that serve them. This is a fully remote, hands-on engineering role for someone early in their career who already has experience building production software and wants broader ownership. You’ll work alo

About Us Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery. If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team Our Autonomy team builds the software that makes Gather AI’s MHE Vision and drone products work in live warehouse environments. MHE Vision turns forklifts and other material handling equipment into real-time inventory sensors, using onboard cameras and compute to scan locations and report inventory data as equipment moves through the facility. It’s a technically demanding product line operating at the intersection of embedded systems, computer vision, and large-scale warehouse deployments. About the Role We’re looking for a Staff Autonomy Engineer (MHE Vision) to own the core autonomy software stack for our MHE Vision platform. You’ll lead the design and implementation of the perception, localization, and scanning pipelines that run on vehicle-mounted hardware in production warehouses, and you’ll do it on real systems with real constraints. This is a Staff-level individual contributor role with significant technical ownership. You’ll work directly with hardware, field deployment, and ML teams to build software that performs reliably in environments that are noisy, dynamic, and unforgiving of edge cases. Your work will directl

About Us Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery. If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team Our Autonomy team builds the software that makes Gather AI’s MHE Vision and drone products work in live warehouse environments. MHE Vision turns forklifts and other material handling equipment into real-time inventory sensors, using onboard cameras and compute to scan locations and report inventory data as equipment moves through the facility. It’s a technically demanding product line operating at the intersection of embedded systems, computer vision, and large-scale warehouse deployments. About the Role We’re looking for a Staff Autonomy Engineer (Drone) to own the core autonomy software stack for our drone platform. You’ll lead the design and implementation of the perception, localization, and scanning pipelines that run on vehicle-mounted hardware in production warehouses, and you’ll do it on real systems with real constraints. This is a Staff-level individual contributor role with significant technical ownership. You’ll work directly with hardware, field deployment, and ML teams to build software that performs reliably in environments that are noisy, dynamic, and unforgiving of edge cases. Your work will directly shape th

About Us Are you ready to build the future of the supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team You'll join the Data Platform team at its inception, helping establish the foundation from day one . Today, production and analytical workloads share a single database, and every product team defines its own metrics. This team exists to fix that: designing the warehouse, the transformation layers, and the semantic model that every product and dashboard will build on going forward, in close partnership with product, engineering, and security. About the Role Most data platform roles ask you to extend something someone else has already built. This one starts with a blank canvas. As Principal Data Engineer , you'll architect Gather AI's data foundation from the ground up: separating analytical workloads from live production traffic, building a semantic layer so metrics are defined once and stay consistent everywhere, and linking structured records to real drone imagery and video with full traceability. You'll prove the model end to end on Gather's drone product, then generalize it so every new product extends the foundation instead of rebuilding it, all while working as a Principal-level individual contributor with real influ

Location: Hybrid - SF Employment: Full-time Develop and qualify Volantis’s testing procedures for custom lasers and scale for mass production. You will own development and implementation of testing and reliability procedures for our first- and second-generation custom laser designs, and their integration with the wafer-scale interposer. Responsibilities Partnering with the laser design team to define test plans, specifications and pass/fail criteria for new individually addressable VCSEL array designs. Characterizing prototype devices (LIV, spectral, far-field/beam profile, polarization, thermal and high-speed modulation) and delivering timely analysis that feeds back into design iterations. Managing test data, including databases, wafer maps, yield analysis and SPC, to track device performance and process variation in conjunction with the designers. Designing, building and maintaining wafer- and die-level prober systems, test fixtures and automated test software. Owning qualification and ramp-up of VCSEL array product testing systems, scaling from R&D characterization to high-volume production test. Working with the laser design, packaging and wafer-scale interposer teams to prove out reliability of the VCSEL itself and the overall system. Requirements Deep hands-on experience with semiconductor laser (preferably VCSEL) testing, characterization, validation, reliability and qualification. Experience designing prober systems, test fixtures and related software automation Proficiency with optical and electrical test equipment such as SMUs, optical spectrum analyzers, power meters, VNAs, and beam profilers Ability to work independently as well as in cross-functional teams including quality and packaging Nice to have Experience qualifying and using contract manufacturers for large volume production test of VCSELs Experience testing high-density VCSEL arrays, both top and bottom side emitting. High speed direct modulation laser diode test experience Understanding of

Job Title: ML Annotation QA Engineer About Us Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software, we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team Our engineering organization spans autonomy, computer vision and machine learning, embedded and hardware systems, full-stack, and cloud, all working in parallel across multiple active product lines tied to live customer deployments. It’s a technically deep, fast-moving team where individual contributors carry real accountability and the work shows up directly in customer operations. Ground truth quality sits at the centre of that — the annotated data this role owns is what our models are trained and measured against. About the Role We are looking for an ML Annotation QA Engineer to own the quality of annotated data across our computer vision and machine learning programs. This role is responsible for the judgment-heavy analysis that cannot be reliably outsourced, for the decision rules behind it, and for turning annotation output into an ongoing read on how our systems are actually performing in the field. We work with an external annotation partner at production volume, and that continues. What we need in house is someone who can analyse the annotated data, make and defend the calls the v

About Us Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About You As a Principal Systems Engineer at Gather AI you will be a technical leader, driving the development and integration of cutting-edge autonomous and passive sensing systems, bridging the gap between product vision, complex system requirements, hardware implementation, and real-world performance. What You’ll Do Take full technical ownership of the design, architecture, and integration of the autonomous data gathering systems in logistics and material handling environments. Collaborate with Product Management, Customers, and cross-functional engineering teams (e.g., Software, Hardware, Cloud, Test) to negotiate and finalize system boundaries and interfaces. Serve as a technical leader, mentoring less experienced engineers and setting the standard for systems engineering best practices. Possess specific, in-depth knowledge of hardware implementation and integration challenges for both active robotic components (e.g., actuators, controllers) and passive sensing modalities (e.g., RGB cameras, depth cameras). Drive trade-off analyses, risk assessment, and mitigation planning for critical system elements. Requirements BS, MS, or PhD

About the Team DoorDash Labs is DoorDash's autonomous delivery group, building the robots and hardware that move goods without a driver. The Vehicle Electrical team designs the electronics at the core of these systems, including power and motor-control electronics, charging, and the test benches that prove the whole system works. About the Role As a summer intern, you will own a defined hardware project in one of three areas: an on-board charger prototype, an in-house motor control circuit, or a full-power hardware test bench with motor power and battery simulation. You will take it from requirements through design, build, and bench validation, and present your results to the team at the end of the summer. You will report into the Director, Electrical Engineering in our DoorDash Labs organization. You're excited about this opportunity because you will… Own an end-to-end project in one of three areas: an on-board charger prototype, an in-house motor control circuit, or a full-power hardware test bench. Design, build, and bring up hardware, from schematic and component selection through prototype assembly and debug. Characterize your design on the bench with lab equipment, measuring efficiency, thermal, and control performance against requirements. Collaborate with power electronics, firmware, and test engineers, and incorporate design review feedback into your work. Document your results and present your findings to the team at the end of your internship. We're excited about you because… You are pursuing a B.S. or M.S. Degree in Electrical Engineering or equivalent, have no more than 2 years of full-time work experience, and are graduating between Fall 2027 to Summer 2028. You are available for a May or June 2027 start date (Internships are only hosted during the Summer). You have coursework or project experience in power electronics, including switch-mode converters (buck, boost, PFC, isolated DC-DC), gate drive, magnetics, and power-stage design. You understand mot

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 making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: Join the High Power Engineering team supporting SpaceXSI to design, build, operate, and maintain electrical infrastructure for AI training campuses. As a Lead Engineer for Data Center electrical, you will work with a small on-site team to scale high-capacity power systems on a schedule set by compute demand. The position is based in Memphis, TN, with potential travel to other sites. RESPONSIBILITIES: Own the electrical architecture from the medium-voltage bus to the GPU rack — topology, redundancy, and standards — for halls scaling with AI compute load. Set and defend the redundancy basis; prove split-feed and cross-feed schemes against bus-fault, transformer-loss, and switchgear-loss contingencies. Establish the campus electrical design standard: equipment tagging, drawing conventions, approved vendor list, insulation coordination, grounding, and arc-flash boundaries. Own the interface with the compute organization on rack density, step-load behavior, power-capping strategy, and actual-versus-nameplate utilization. Own the interface with mechanical and cooling engineering on CDU, sidecar, and pump electrical loads and their contribution to hall demand. Lead desi

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Senior High Bandwidth Memory (HBM) Electrical Failure Analysis (EFA) Engineer Job Description As a Global Quality (GQ) High Bandwidth Memory (HBM) Electrical Failure Analysis (EFA) Engineer on the DRAM/Emerging Memory Quality and Reliability Assurance team (DEMQRA) at Micron Technology, Inc., you will be responsible for the electrical characterization and electrical failure analysis (EFA) of all HBM products. You will need to distinguish whether it is package or device related failures. Preferably, you are equipped with knowledge of DRAM functionality, process, test program and device necessary for making solid judgment. You will also use a variety of test tools including the uMate tester, Merlin, Mongoose SM3 , Prober, CAD layout tool, and a variety of technical drawings and schematics to perform detailed characterization on HBM products. You will record and categorize failures in order to determine failure mechanisms and characteristics. In this role, you will communicate with various engineering groups, assist lab users with equipment setup and interpretation of data, and maintain critical EFA knowledge database. You will also be expected to apply AI to seek ways to improve the EFA process in order to reduce test time, increase throughput, and increase f

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. Join our team at Micron in Taiwan as an ID1 ME PH Technician, contributing to our R&D engineering for wafer fabrication. Responsibilities: Perform technical tests and experiments for process development in semiconductor manufacturing. Set up and operate semiconductor processing equipment. Monitor, audit, and provide mentorship to line operators to ensure flawless execution. Process test runs and prepare detailed records, charts, and graphs of results for engineering presentations. Provide technical assistance to process development and engineering personnel, ensuring successful implementation of new products. Minimum Qualifications: Proven experience in semiconductor manufacturing or a related field. Strong technical skills in operating and troubleshooting semiconductor processing equipment. Ability to analyze data, build reports, and present findings effectively. Excellent communication and collaboration skills. Demonstrated ability to strictly follow protocols and safety procedures. Preferred Qualifications: Bachelor's degree in Engineering, Physics, or a related field. Experience with process development in a high-tech environment. Familiarity with statistical proce

About Us Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery. If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team You’ll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you’ll collaborate with Product and Business leadership to translate ML capabilities into product value. This is a high-visibility role with a direct line to executive leadership and significant influence over product direction. About the Role We are looking for a Director of Machine Learning to define our ML strategy, lead our computer vision organization, and drive the next phase of ML maturity at Gather AI. You will assess existing ML and CV capabilities, identify gaps and opportunities, and establish a clear technical vision for how machine learning will power our warehouse intelligence platform over the next 12–18 months. The ideal candidate brings deep computer vision expertise, a track record of shipping production ML systems, and the leadership experience to build and scale a world-class ML team. What You’ll Do Define and own the ML strategy and technical roadmap for Gather AI, aligned with product and business objectives Lead and grow the Machine Learning and FPT teams

Manufacture hardware that goes to space. At Dawn Aerospace, we build satellite propulsion systems and the world's fastest-climbing spaceplane. We're looking for an experienced CNC Machinist to programme, set up and run complex machining jobs that become flight hardware. This is a hands-on role for someone who enjoys owning the entire machining process, from CAM programming and fixturing through to first-off parts and repeatable production. You'll work on everything from rapid R&D prototypes to production hardware, helping scale manufacturing as we grow. You'll work closely with engineers and technicians to solve problems, improve processes and manufacture high-precision components from stainless steel, titanium, aluminium and Inconel. If you take pride in producing exceptional work, enjoy technical challenges and want to see the parts you make fly, we'd like to hear from you. What You'll Do CNC Programming & Machining Create and optimise CNC programs using Fusion 360, TopSolid, SolidCAM or similar CAM software. Design and implement fixturing for safe, repeatable machining. Machine complex components from raw material and post-processed additive manufactured parts. Select tooling, workholding and machining strategies for high-precision applications. Prove out new programs and transition them into reliable production processes. Set up and operate CNC machines while maintaining tight tolerances and quality standards. Inspect finished components using precision measuring equipment. Manufacture hardware across the full product lifecycle, from prototype development through to production. Process Improvement Improve cycle times, tooling, fixturing and machining methods. Develop robust, repeatable and scalable manufacturing processes. Collaborate with engineers to solve machining and design challenges. Drive continuous improvement in quality, efficiency and reliability. What We're Looking For 5+ years' CNC machining experience. Proven experience programming, setting

Intern- Probe Equipment Technician — Fab 10N/X, Singapore. Apply via Workday.