Quality assurance engineer jobs in Tracy, CA - 3,118 jobs

We, Alibaba Overseas Engineering & TPM team, are seeking for a highly skilled and experienced Construction Quality Assurance Expert/On-site Testing & Commissioning Supervisor to join our dynamic and innovative team. Our team is dedicated to the design, construction, testing & commissioning and optimization of public cloud infrastructure and facilities. This multidisciplinary group combines expertise in electrical, mechanical and civil engineering, construction progress management, construction quality management to ensure delivery of high-performance environments that support critical IT equipment needs. In this role, you will be responsible for ensuring the successful testing and commissioning of our electrical and mechanical facilities, with a focus on spending at least 30% of your working time on construction sites. You will be accountable for the following key responsibilities, 1. Site Supervision and Coordination 2. Facility Testing and Commissioning 3. Documentation and Reporting 4. Compliance and Quality Assurance 5. Escalation and Stakeholder Engagement Minimum qualification: - A minimum of 5 years of proven experience in facility testing and commissioning, with a strong track record of successful construction project delivery. - Excellent communication and stakeholder management skills, with the ability to present technical information to both technical and non-technical audiences. - Proficiency in developing and executing comprehensive testing and commissioning plans, as well as interpreting and documenting test results. - Bachelor's degree in Engineering (Electrical, Mechanical or a related field) Preferred qualification: - Extensive knowledge of electrical and mechanical infrastructure, including but not limited to power, cooling, ventilation, fire-fighting, plumbing, drainage and monitoring. - Excellent problem-solving and analytical skills, with the ability to identify and resolve complex technical issues. - Strong project management and coordination skills, with the ability to work effectively with cross-functional teams. - Master's degree in Engineering (Electrical, Mechanical or a related field) - Professional engineer (PE) is preferred. The pay range for this position at commencement of employment is expected to be between $133,200 and $219,600/year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

The application window is expected to close on: Feb 20th, 2026 NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team We are SaaS Engineering organization within the Cisco Networking Engineering. We are committed to revolutionizing the deployment of generative AI applications! Our mission is to improve IT visibility and deliver comprehensive analytics for the AI infrastructure stack. By applying innovative technologies, we are developing next-generation SaaS-based controllers crafted to efficiently manage Data Centers with AI/ML solutions. Your Impact You will work on Cisco HyperFabric, an innovative cloud-operated AI cluster solution. Cisco HyperFabric aims to provide customers with a unified compute and networking fabric, along with a management system that enables the creation of easily deployable, scalable, and manageable AI/ML solutions. As a Software Development Manager, QA, you will be leading a team of talented QA and Customer Support Engineers. You develop and execute a test strategy for our solutions. The ideal candidates should have a strong curiosity and experience in QA across various systems, as well as demonstrated leadership skills in software development and system configuration automation. You will be responsible for the following: Lead a focused and collaborative team environment by empowering senior team members to operate independently while fostering strong cross-functional teamwork among backend, UI development, and QA functions Drive QA team efficiency and agility by ensuring effective coordination, clear prioritization of features, and continuous improvement of processes. Oversee and own the continuous deployment pipeline, ensuring smooth and reliable execution across multiple environments with the QA team managing and optimizing the process end-to-end. Cultivate a startup-like atmosphere that emphasizes innovation and collaboration without rigid processes, allowing development and QA teams to jointly own code and test responsibilities while leveraging custom testing solutions. Collaborate with the internal teams to address customer issues efficiently and effectively, ensuring a seamless experience. Minimum Qualifications: Bachelors in an engineering field with 12 + years of experience or Master's degree with 8 + years of experience. 5+ years of prior experience as a manager of a QA Engineering team. Knowledge of networking technology and SaaS environment. Experience with robust testing and validation of networking software for optimizing performance, reliability, and security. Preferred Qualifications: Experience in Python for testing. Experience with automation and testing frameworks to streamline and enhance the quality assurance processes. Strong experience in QA coordination, planning, and prioritizing of features. Proven track record in managing continuous deployment pipelines and owning QA processes across multiple environments. Deep understanding of data network technology, experience in customer-facing roles and customer support best practices. 4+ years of experience in Customer Success or related roles, preferably in a SaaS networking domain. Experience in guiding the customers through the initial setup, implementation, and training phases to ensure successful product adoption and a smooth start to their journey. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $210,600.00 to $305,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $210,600.00 - $350,800.00 Non-Metro New York state & Washington state: $189,300.00 - $312,200.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Introduction SymphonyAI is at the forefront of innovation, leveraging cutting-edge artificial intelligence and machine learning technologies to transform industries and drive business growth. As a global leader in AI-powered solutions, we empower organizations to harness the full potential of data-driven insights. SymphonyAI enterprise applications rapidly deliver transformative business value across retail, CPG, financial services, manufacturing, media, Enterprise IT (SymphonyAI Summit) and the public sector. SymphonyAI combines unrivalled AI technology, vertical expertise and industry-specific data and insights into applications that drive the highest value for customers. We are one of the largest and fastest growing AI portfolios. Job Description We are seeking an Senior Performance Test Engineer to lead performance, load, stress, spike, and endurance testing for our web applications, APIs, and data platforms. The ideal candidate will have strong expertise in designing, executing, and analyzing performance tests to ensure scalability, stability, and high performance of enterprise‑grade systems. Key Responsibilities Design and implement performance test strategies covering load, stress, spike, and endurance testing for web, API, and data‑driven applications. Develop and maintain performance test scripts using leading tools (e.g., JMeter, Gatling, LoadRunner, K6). Collaborate with development, operations, and data platform teams to identify performance bottlenecks and optimize system performance. Set up and execute end‑to‑end performance test scenarios in CI/CD pipelines. Analyze test results, monitor key performance metrics (throughput, latency, resource utilisation), and provide actionable insights and recommendations. Conduct performance baselining, capacity planning, and tuning for backend systems and data pipelines. Generate detailed performance test reports and communicate findings to technical and non‑technical stakeholders. Participate in architectural reviews to ensure performance and scalability best practices are incorporated. Mentor junior testers and contribute to ongoing improvement of the performance testing framework. Required Skills and Experience 5-8 years in software performance testing with hands‑on experience in load, stress, spike, and endurance testing. Tools: Proficiency in at least one major performance testing tool (e.g., JMeter, Gatling, LoadRunner, K6, Locust). Monitoring & Analysis: Experience with APM and monitoring tools (e.g., Grafana, Prometheus, New Relic, AppDynamics, Dynatrace). Programming/Scripting: Strong knowledge of scripting in Java, Python, or JavaScript for test automation and custom metric tracking. Protocols: Strong understanding of HTTP/HTTPS, REST, WebSocket, and database connectivity. Data Platforms: Experience testing data‑heavy systems such as Hadoop, Spark, StarRocks, Iceberg, or similar distributed data platforms. Performance Engineering: Experience in result analysis, tuning JVM, database query optimisation, and cloud scaling (AWS/GCP/Azure). CI/CD Integration: Hands‑on experience integrating performance tests into pipelines (Jenkins, GitHub Actions, Azure DevOps). Soft Skills: Analytical thinking, effective communication, and problem‑solving abilities. Preferred Qualifications or Good to Have Experience with benchmarking frameworks for large‑scale data platforms. Knowledge of containerised environments (Docker, Kubernetes). Exposure to observability stacks (ELK/EFK, OpenTelemetry). Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Exposure to AI / Generative AI applications or machine learning model testing. About Us SymphonyAI Enterprise IT is part of the Symphony AI group with over 3000 talented leaders, data scientists, and other professionals incubate and build SymphonyAI Group solutions. SymphonyAI Enterprise IT, an innovative AI‑powered firm based in Palo Alto, California. Our product range includes ITSM, ITAM, digital agent, and service automation solutions. With a global footprint covering North America, Southeast Asia, the Middle East, and India, we're at the forefront of IT innovation. Recognised as an honourable mention in the 2024 Gartner Magic Quadrant for ITSM Platforms and consistently awarded as a Gartner Peer Insights Customers' Choice for five consecutive years, Summit leads the way in industry innovation. #J-18808-Ljbffr

A leading technology company is seeking a Principal / Senior GPU Software Performance Engineer in San Jose, CA. This role involves optimizing GPU workloads for training performance, enhancing throughput, and resolving bottlenecks in distributed systems. The ideal candidate will have strong skills in GPU performance engineering and experience with deep learning frameworks, particularly PyTorch. This position offers a chance to work in a collaborative environment focused on innovation and inclusivity. #J-18808-Ljbffr

Responsibilities Lead/manage Good Clinical Practice (GCP) audits, including clinical investigative site audits, clinical vendor audits, clinical department internal audits, Trial Master File (TMF) audits, and applicable study document audits, including Clinical Study Reports (CSRs) Serve as a QA representative and support clinical study teams to provide compliance advice Participate in review and approval of clinical study documents and clinical SOPs / Guidance Documents Manage study-specific Clinical Study Audit Plans (CSAP) compliance for the assigned program by using a risk-based approach for clinical studies Review and approve investigational product (IP) temperature excursions to ensure release or rejection of IP on time Lead continuous improvement of the Clinical Quality Management Systems (CQMS) and processes, including creation and revision of SOPs for GCP compliance and excellence Manage and support inspection readiness activities for GCP Support clinical inspections conducted by regulatory agencies, including sponsor inspections, clinical investigative site inspections, and contract research organization (CRO) inspections Support GMP, GLP, and PV inspections Lead clinical non-compliance event investigations and CAPA implementation Perform quality metric analysis for clinical QA including study quality event trends from clinical process deviations / CAPAs to include a review of protocol deviations, safety, and other clinical data Maintain a contemporary knowledge of agency and industry trends, standards, and methodologies as related to GCPs. Maintain the GCP regulatory surveillance program Provide cross-training development opportunities to QA team members, and mentor/coach junior QA team members upon request or as an assigned supervisor Preferred Education & Experience BA/BS degree in a relevant field, or equivalent experience 6+ years' clinical research experience Understanding of Quality Systems that support GCP quality activities Experience with advanced Microsoft Office applications (Word, Excel, PowerPoint) Experience developing GCP processes for the best industry practices and training

Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg, Germany is one of the world's leading automobile manufacturers and the largest carmaker in Europe. The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN. Brief Role Description At the Innovation & Engineering Center California (IECC), we represent the Volkswagen Group in applied research and development. Located in the heart of Silicon Valley, we create bold new ideas for the Volkswagen, Audi, Bentley, Lamborghini, Bugatti and Porsche brands. We're a team of engineers, designers, scientists, and psychologists looking to develop innovations for future generations of cars, and to transfer technologies from many industries and research institutions into the automotive domain. Our mission is to drive change which means we are not only impacting one of the world's largest car makers, but also the lives of millions of people. Are you ready to join us? Role Summary The Virtual Test Engineer will own the end‑to‑end test engineering for virtual ECUs-from V‑ECU creation (AUTOSAR Classic/Adaptive) and restbus/environment modeling, to deterministic simulation, fault injection, conformance, diagnostics/flash, and scalable CI execution. You will build and operate a virtual test platform that exercises production software stacks (communication, diagnostics, safety/security, OTA readiness) with measurable coverage and release‑grade. You partner with software, systems, safety, cybersecurity, HIL, and OTA teams to ensure the virtual pipeline finds defects earlier than HIL/vehicle, at fleet scale. The position will be a member of the worldwide connectivity technical team and interfaces with multiple stakeholders of VW Group's technical team members. This position investigates and develops new architectures for connected systems targeted to the US market. Role Responsibilities Operational Management - (35%) Ownership of Virtual Test topics in NAR markets Own the relationship with network operator, contract manufacturer, platform provider and lead strategic discussions and technical negotiations. Serve as technical authority for V‑ECU testing; mentor engineers in XiL best practices, determinism, and modeling trade‑offs. Drive supplier alignment (Tier‑1/2) for virtual deliverables (V‑ECU packages, ARXML/ODX/OTX, service catalogs, security plugins). Conduct design/test reviews, DFMEA/FMEA, and lead 8D on defects discovered in SIL with crisp reproduction artifacts. V‑ECU Build & Simulation Architecture - (35%) Define the V‑ECU generation strategy for AUTOSAR Classic (RTE + BSW abstraction, virtual MCAL stubs) and Adaptive (POSIX targets, ara::com SOME/IP bindings), including OS abstraction, timers, time‑warp, and determinism controls. Select and integrate V‑ECU platforms (e.g., dSPACE VEOS/SystemDesk, Vector vVIRTUALtarget/CANoe4SW Server, ETAS COSYM/ASCET, AVL VIRTUAL TESTBED, Wind River Simics, Imperas/OVPsim, QEMU/Renode‑based flows) and manage tool qualification where applicable. Establish co‑simulation topologies: MIL/Plant models (Simulink/Modelica/FMU/FMI), bus/network simulators, and virtualization of sensors/actuators with IO semantics and timing fidelity. Communication, Diagnostics & Flashing in SIL - (10%) Model and validate Automotive Ethernet stacks: SOME/IP & SOME/IP‑SD, DoIP, AVB/TSN where applicable; simulate VLAN/QoS and congestion scenarios. Exercise CAN/CAN‑FD, LIN, FlexRay via restbus simulations; verify UDS services, ISO‑TP segmentation and XCP/CCP measurement/calibration flows. Implement DoIP‑routed UDS flashing in SIL with eligibility/state checks, A/B or recovery slots, anti‑rollback, and bootloader handshake emulation (timings, NRCs). Develop restbus models for gateways, sensors, actuators, and peer ECUs using Vector CANoe/CAPL (incl. CANoe4SW Server), Python, and co‑simulation bridges. Build service catalogs and SOME/IP service mocks, including late‑joiner/re‑announce behaviors and instance collision tests; emulate SecOC/E2E protections. Create plant models (Simulink/Modelica, FMU/FMI) for closed‑loop testing of control functions; parameterize with production DBC/ARXML/LDF. Execute fault campaigns: bus saturation, frame loss/reordering, clock drift, time sync perturbations (gPTP), power cycles/brown‑outs (virt), memory pressure, and network fuzzing (UDS/DoIP/SOME‑IP). Apply protocol fuzzing (boofuzz, Scapy, Peach, AFL++ harnesses), mutation testing, and error seeding to validate diagnostic/communication hardening. Model electrical transients (ISO 7637‑2, load dump) effects at the software boundary and verify recovery logic within the V‑ECU. Architect headless SIL farms (Docker/K8s runners, epoxy test environments) executing parallel suites (thousands of SIL testcases per commit/nightly). Integrate CI/CD (Jenkins/GitLab/Azure DevOps), artifact management (SBOM: SPDX/CycloneDX), test results (JUnit/Allure), and flaky test quarantine + triage dashboards. Implement golden capture/compare pipelines (PCAP/MDF4/CSV) and scenario versioning (OpenSCENARIO/OpenDRIVE/ASAM OSI if AD/ADAS is in scope). Qualification requirements Skills Requirements: Excellent strategically thinking and communication skills. Analytical and conceptual thinking Experience in developing strategies for R&D Communication skills - interpersonal, presentation and written Integration - joining people, processes or systems Influencing and negotiation skills Strategic/visionary minded Resource management Specialized Skills Required Knowledge of communication HW & SW architecture and hardware development processes. Excellent communication; proven cross‑functional leadership across hardware, software, cloud, manufacturing, compliance, and program management. Deep understanding of typical vehicle EE architectures and automotive development processes. Deep expertise in SOME/IP/SOME‑IP‑SD, DoIP, UDS/ISO‑TP, CAN/CAN‑FD/LIN, and restbus modeling; hands‑on with ODX/OTX and XCP. Proven delivery of CI‑scale virtual test grids (parallel headless execution, artifacted evidence, flake management). Strong command of coverage engineering (MC/DC, model & code coverage), fault injection/fuzzing, and performance/timing analysis in virtual environments. Demonstrated experience with MISRA, static analysis, sanitizers, and traceability (Polarion/Codebeamer). Networks & Middleware (experience with any of) : Automotive Ethernet: SOME/IP & SOME‑IP‑SD, DoIP, TSN/AVB, VLAN/QoS Diagnostics: UDS, ODX/OTX authoring/automation; XCP/CCP (ASAM), DIDs, routines, DTC handling Security (where applicable): SecOC (AUTOSAR), TLS/mTLS, E2E protection profiles V‑ECU Platforms & Co‑Sim (experience with any of) : Tools (any mix): dSPACE, Vector vVIRTUALtarget / CANoe4SW Server, ETAS COSYM, AVL VIRTUAL TESTBED, Imperas/OVPsim, QEMU/Renode Restbus, Test Authoring & Automation (experience with any of) : Vector: CANoe/CANalyzer/CANape, vTESTstudio, CAPL; CANoe4SW Server for headless SIL Python (python‑can, scapy, pyshark, pyvisa), Robot Framework, pytest, gRPC/REST harnesses Coverage, Analysis & Observability (experience with any of) : V‑ECU generation using VEOS/SystemDesk, vVIRTUALtarget/CANoe4SW, or COSYM; co‑sim with FMU/FMI and plant models. TSN budget analysis (gPTP domains, Qav/Qbv scheduling) for AV/service traffic in SIL. Virtual UDS flashing including A/B slots and anti‑rollback; security hardening (SecOC, TLS/mTLS) validated in SIL. Experience scaling SIL in Kubernetes with observability (OpenTelemetry + ELK/Grafana) and SBOM/attestation in release flow. Knowledge of VW Group product design requirements, Programming experience with the languages C, C++, Java, Python, and script languages. Additional Required Qualifications Years of Required Experience 7+ years of hardware or software development experience for connectivity functions in a vehicle manufacturer or supplier 5+ years of working in automotive projects including communication technology, ADAS or automation Education Requirements: Required BS in Engineering MS and/or PhD in Engineering Work Flexibility: Accommodation for working time zone differences between international locations as needed Travel is estimated to be 10%. Role requires flexibility in daily schedule, including early morning meetings with Europe, afternoons/evenings for the US West Coast or Asia Travel is expected regularly to local development teams and partners Compensation Data Salary is determined by geographical location and adjusted accordingly. In Silicon Valley, the expected base salary range is between $160,000 - $175,000. Other benefits for this position include: · Eligibility for annual performance bonus · Healthcare benefits · 401(k), with company match · Defined contribution retirement program. · Tuition reimbursement · Company lease car program · Paid time off Volkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity /expression, marital status, veteran status, or any other characteristics protected by applicable laws. This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security. This Organization participates in E-Verify. We maintain a drug free workplace and perform pre‑employment substance abuse testing. Job ID: 19917 Company: Volkswagen Group of America, Inc. Location: Belmont, CA, US, 94002 Department: Research and Development Working Model: Full-time Contract Type: Unlimited Remote Working: Up to 40% Join the New Volkswagen team. If you aspire to be part of the mobility of the future, Volkswagen is for you. We are the ideal match for people with a passion for innovation, oriented to achieve sustainable results, and who can work in a team generating positive and collaborative work environments. Here is your next challenge. Founded in 1955, Volkswagen of America, Inc., an operating unit of Volkswagen Group of America, Inc. (VWoA) is headquartered in Reston, Virginia. It is a subsidiary of Volkswagen AG, headquartered in Wolfsburg, Germany. VWoA's operations in the United States include research and development, parts and vehicle processing, parts distribution centers, sales, marketing and service offices, financial service centers, and its stateof-theart manufacturing facility in Chattanooga, Tennessee. #J-18808-Ljbffr

Why Oracle Join a team at the forefront of automation and IoT innovation within Oracle's global engineering organization. You'll have the opportunity to shape next-generation factory robotics capabilities, work with cutting-edge cloud technologies, and deliver solutions that transform how organizations operate their most critical systems. Oracle is seeking an experienced Robotics & Web Automation Engineer to help drive the next generation of intelligent factory automation. In this role, you will design, program, and optimize industrial robotic systems while integrating them into Oracle's IoT platform for advanced remote monitoring, control, and data insights. You will work closely with automation engineers, software developers, and cloud teams to deliver highly reliable, scalable, and secure automation solutions for manufacturing environments. Key Responsibilities Program, configure, and deploy industrial robots, including KUKA, FANUC, and ABB platforms, to support automated workflows. Design and implement PLC logic and controls architectures to ensure safe and efficient robotic operations. Develop scripts, tooling, and automation solutions in Python or JavaScript to enhance robot performance, diagnostics, and system integrations. Connect factory automation systems into Oracle's IoT services for remote monitoring, predictive maintenance, telemetry, and analytics. Collaborate with cross-functional engineering teams to troubleshoot issues, improve automation uptime, and optimize robotic performance. Support development of remote management frameworks allowing customers to securely monitor and update robot configurations. Document technical workflows, provide engineering insights, and participate in continuous improvement efforts. Qualifications Disclaimer Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only. US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: Medical, dental, and vision insurance, including expert medical opinion Short term disability and long term disability Life insurance and AD&D Supplemental life insurance (Employee/Spouse/Child) Health care and dependent care Flexible Spending Accounts Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 11 paid holidays Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. Paid parental leave Adoption assistance Employee Stock Purchase Plan Financial planning and group legal Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Required Qualifications Hands-on experience with robot programming for at least one major industrial platform (KUKA, FANUC, ABB); multi-platform experience strongly preferred. Experience with PLC programming (Allen-Bradley, Siemens, or similar). Proficiency with Python or JavaScript for automation scripting, data processing, or systems integration. Strong understanding of industrial automation, workflows, and robotics safety standards. Familiarity with cloud-connected systems, edge devices, or IoT platforms. Ability to troubleshoot mechanical, electrical, and software issues in an automated environment. Preferred Skills Experience integrating industrial equipment with cloud services or APIs. Knowledge of industrial communication protocols (OPC-UA, Modbus, MQTT). Background in remote device management, telemetry pipelines, or factory digitalization projects. Exposure to CI/CD workflows, version control (Git), and automation testing. NOTE:We are unable to provide visa sponsorship for this role at this time. No candidates requiring visa sponsorship will be considered. #J-18808-Ljbffr

Must Have Technical/Functional Skills • Experience: 5+ years of hands-on experience in a lab environment (EMC experience preferred, but general automotive electrical testing is considered). • EMC Technical Skills: Ability to operate EMC test equipment such as Spectrum Analyzers, Signal Generators, and Power Meters. Familiar with vehicle EMC test methodologies (ie. Radiated Emissions, onboard emissions, radiated immunity) • Vehicle Communication Tools: Proficiency with, CANalyzer or similar tools to interface with the vehicles electronic control units (ECUs). • SW Automation: Basic to intermediate ability to write and modify test scripts (ie. Bash, Python or similar) for automation. • Vehicle Expertise: Knowledgeable about basic electric vehicle architecture, comfortable working in and around vehicles, including basic mechanical disassembly to access internal modules, harness modifications, fuse replacements, charging and reviving LV/HV systems • Familiarity with automotive EMC standards: ISO, SAE, UNECE-R10 Roles & Responsibilities Responsible for the hands-on execution of electromagnetic compatibility testing at the vehicle level. This role focuses on the test planning, physical setup, technical bring-up, and systematic testing of vehicles in both internal and external laboratory environments. You will be the technical doer who interfaces with cross functional teams to ensure the vehicle is configured correctly, test infrastructure tools are running, and data is captured accurately to validate performance against internal specifications and global standards. Key Responsibilities 1. Vehicle Preparation and Bring-Up • Communicate well with vehicle program teams to understand timelines and deliverable due dates, draft test plans and arrange internal team schedules/logistics to meet deadlines • Physically prepare prototype vehicles for EMC testing, including the installation of fiber optic converters, current probes, and specialized test harnesses. • Bring up the vehicle systems: Ensure the vehicle is in the correct state for testing (e.g., HV battery engaged, communication buses active). • Collaborate with software teams to flash specific firmware versions and activate test modes required to exercise vehicle features during lab sessions. 2. Test Execution & Scripting • Execute test cases for Radiated/Conducted Emissions and Immunity in accordance with the test plan. • Develop and use scripts (ie. Bash, Python or similar to automate vehicle functions and monitor bus traffic ( CAN/LIN/Ethernet) during testing. • Maintain detailed logs of vehicle configurations, software versions, and hardware revisions for every test run. 3. Lab Operations & Coordination • Perform testing in-house and travel to external labs to support vehicle-level validation. • Work closely with external lab technicians to set up the vehicle on dynamometers or turntables and ensure tests are performed correctly • Coordinate the scheduling and logistics of moving vehicles and equipment to various test facilities.

We're hiring a Lead Software Automation & Toolchain Engineer to join a frontier physical AI startup building autonomous systems that can experiment, reason, and discover in the real world. The team is a small, world-class group pushing beyond simulation and software-only AI. Their systems operate across a 20,000 sq ft physical intelligence factory and support a $42M federally funded program, enabling ML-driven agents to directly command real engineering tools and workflows. This role owns the automation substrate that connects AI agents to the physical world - unifying CAD, EDA, CAE, and scientific tools into clean, deterministic, agent-callable interfaces. You'll define how intelligent systems manipulate real engineering stacks at scale. What you'll do: Build reproducible adapters and automation pipelines that make heterogeneous engineering tools fully agent-callable Design structured APIs, parsers, classifiers, and fault-tolerant execution flows across CAD, EDA, CAE, and scientific toolchains Wrap commercial and open-source engineering tools into deterministic, scriptable workflows with robust validation and recovery Partner closely with ML researchers, agent systems engineers, and domain experts to automate end-to-end engineering workflows Make foundational architecture decisions in a fast-moving, first-principles environment What we're looking for: Senior or Lead-level experience automating engineering or scientific tools (e.g., CAD, EDA, CAE, CAM, COMSOL, simulation platforms) Strong systems-thinking ability across heterogeneous tools, file formats, and execution environments Proven ability to build reproducible, fault-tolerant automation pipelines and structured tool interfaces Comfort working at the boundary of software systems, ML-driven agents, and real-world engineering workflows Thrives in high-ownership, frontier research environments Location: San Francisco or Redwood City

Top 3 Hard Skills Required Years of Experience 1. Minimum 5 years experience with access control module or another component on testing and diagnosis 2. Minimum 5 years experience with Linux 3. Minimum 5 years experience with Vector tool We are seeking a Software Support Engineer with 5 years of experience to join our connectivity team and contribute to the development of stable software solutions. In this role you will gain hands-on experience with Over-The-Air OTA updates vehicle charging and troubleshooting connectivity issues. You will be also working with infotainment software system issues with multiple team for their own domain. Youll also assist in testing some of the key infotainment feature along with development. One another key responsibility is interacting with internal and external customer about issues and debugging them along with development team and provide solutions for field service engineering team. Having work experience on TCU and Infotainmnet would be additional point. Responsibilities: Working with infotainment development team to understand and document issues to help field issues. Documenting steps clearly for knowledge transfer purposes. Assist in performing OTA updates to vehicles and ensure smooth rollouts. Help identify and troubleshoot connectivity issues involving LTE WiFi GPS and networking. Participate in testing connectivity features and document results. Collaborate with the team to develop an understanding of vehicle networks and connectivity platforms. Gain exposure to vehicle communication protocols e.g. CAN and CANoe. Contribute to the maintenance of test infrastructure Document issues clearly and coordinate with developers to resolve them efficiently. Key Skills Knowledge Areas: Basic understanding of LTE WiFi GPS and networking concepts. Familiarity with vehicle communication protocols and embedded systems CAN knowledge is a plus. Interest in Linux systems and embedded software testing. Strong analytical and problem-solving skills. Effective team collaboration and communication skills written and verbal. Qualifications: 5 years of experience in support engineering system testing or a related field. Bachelors degree in Computer Science Electrical Engineering or related field or equivalent experience. Exposure to embedded systems vehicle diagnostics or connectivity technologies is preferred. Eagerness to grow and learn from hands-on work in automotive software testing and debugging

Performance Modeling Engineer - SystemC/TLM2 Performance Modeling and verification Develop, enhance, and maintain SystemC/TLM2 models for memory controllers, peripherals and interconnects, ensuring they accurately simulate the behavior and performance characteristics of the hardware. Collaborate with cross teams to integrate models into AMD tools used for system-level designs, ensuring proper functionality and performance. Identify bottlenecks and performance issues within models and work to optimize their performance to meet design specifications. Develop and execute testbenches to validate the functionality and correctness of models, as well as participate in system-level testing and debugging. Create clear and comprehensive documentation for models, including usage guidelines and design specifications. Cycle approximate performance models SV/UVM Functional and Performance Verification PCIe/AXI knowledge

Shyld AI is building Physical AI systems that operate autonomously in hospitals to reduce infections and improve clinical workflows. Our platform combines sensing, embedded systems, AI, and hardware deployed in real clinical environments. We are looking for a hands-on Hardware Systems & Test Engineer to help us design, test, validate, and deploy reliable hardware systems at scale. This role sits at the intersection of hardware testing, QA, system integration, and field deployment, and will play a critical role in ensuring our devices perform safely and reliably in hospitals. What You'll Do Own hardware testing and system-level validation for Shyld AI devices Define and execute hardware QA processes, including incoming inspection, functional testing, and reliability testing Assist with hardware design and bring-up, including schematic reviews, PCB bring-up, and system integration Work closely with suppliers and contract manufacturers, helping manage technical communication, troubleshooting, and design iterations Organize and maintain the hardware lab, including test fixtures, tools, inventory, and documentation Debug and troubleshoot hardware, firmware, and system-level issues in both lab and field environments Evaluate, prototype, and test new sensors and hardware components Support device installations at customer sites, including setup, validation, and troubleshooting in hospital environments Create clear documentation for test procedures, installation workflows, and field learnings What We're Looking For 3+ years of hands-on experience in hardware testing, system integration, or hardware engineering Strong experience debugging real hardware systems (not just simulations) Comfortable working across hardware, firmware, and software boundaries Experience with lab tools such as oscilloscopes, multimeters, power supplies, logic analyzers Familiarity with embedded systems, sensors, and communication interfaces (I2C, SPI, UART, USB, Ethernet, etc.) Ability to communicate clearly with suppliers and manufacturing partners Comfortable traveling to customer sites and working hands-on in the field Highly organized, detail-oriented, and ownership-driven Nice to Have Experience with medical devices, robotics, or safety-critical systems Exposure to manufacturing, DFM, or production test Experience bringing up new sensors or evaluating hardware components Familiarity with regulated or compliance-driven environments Python or scripting experience for test automation Why Join Shyld AI Work on real hardware deployed in hospitals, not demos High ownership and direct impact on product reliability and customer success Small, fast-moving team with strong technical depth Opportunity to grow into Technical Operations or Hardware Lead roles over time

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role We are seeking a talented Site Reliability Engineer (SRE) to join our SuperComputing team. In this role, you'll ensure the reliability, scalability, and performance of our high-performance computing (HPC) infrastructure, powering cutting-edge AI research. You'll collaborate with cross-functional teams to build and maintain systems that support massive-scale data processing and model training. You\'ll ensure Grok stays reliable for millions while inventing new approaches at the intersection of SRE and cutting-edge AI to help define the future of AI reliability engineering. What You'll Do Design, implement, and maintain robust, scalable infrastructure for supercomputing environments. Monitor and optimize system performance, ensuring high availability and minimal downtime. Develop automation tools and scripts to streamline operations and improve system reliability. Troubleshoot complex issues across distributed systems, networks, and storage solutions. Collaborate with AI researchers and engineers to support compute-intensive workloads. Implement security best practices to protect sensitive data and infrastructure. Contribute to capacity planning and disaster recovery strategies. Participate in an on-call rotation to ensure 24/7 system reliability. Ideal Experiences Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). 3+ years of experience in site reliability engineering, DevOps, or systems engineering. Proficiency in Linux system administration and scripting (e.g., Python, Bash). Experience with containerization (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure). Strong understanding of networking, distributed systems, and storage technologies. Familiarity with HPC environments, GPU clusters, or large-scale data processing. Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. Strong communication skills and a collaborative mindset. Bonus: Experience with Infrastructure as Code (e.g., Terraform, Ansible) or monitoring tools (e.g., Prometheus, Grafana). Location This role is based in the Bay Area (San Francisco and Palo Alto). Candidates are expected to be located near the Bay Area or open to relocation. Tech Stack Languages: Rust, Python, C++, Golang Interview Process Application Review: Submit your CV and a statement of exceptional work. Our team will review your application to assess fit. Phone Interview (45 minutes): A brief conversation with a team member to discuss your background, key accomplishments, and motivation. Main Interview Process 1 Coding assessment: Solve problems in Rust, Python, C++, or Golang 1 Skill Specific Technical Interview: Demonstrate practical skills in a live problem-solving session. 1 SRE/System Case Study: Analyze and solve a complex, real-world system design or operational problem, demonstrating your technical expertise, problem-solving skills, and ability to optimize system reliability and performance. Project Deep-Dive: Present your past exceptional work to a small audience. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice #J-18808-Ljbffr

We're looking for an eager, early-career engineer to help build AI agents to improve work efficiency of network security product development. Responsibilities: Design and implement resilient, scalable multi-agent systems and agentic AI. Support RAG pipelines, including vector databases and hybrid search Integrate agents with external tools, APIs, and business systems Run LLM/RAG evaluations to identify issues and improve reliability Write prompts and support light model fine-tuning Requirements: Bachelor's degree in CS, AI, ML, or a related technical field. Strong project-based experience with generative AI is a plus. Familiarity with AI agent frameworks. Basic understanding of LLMs, prompt engineering, and generative AI concepts. Some exposure to vector databases, retrieval systems, or RAG architectures. Familiarity with major LLM models Basic familiarity with cloud platforms (AWS, GCP, Azure) and containers (Docker). Solid Python skills and good understanding of software engineering fundamentals Motivated, curious, and excited to learn The US base salary range for this full-time position is $100,000-$140,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

PsiQuantum'smission is to build the first useful quantum computers-machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approachisbased on silicon photonics. Byleveragingthe advanced semiconductor manufacturing industry-including partners like GlobalFoundries-we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photonsdon'tfeel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. In 2024,PsiQuantumannounced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining-and that now is the time to scale. PsiQuantumalso develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies-including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical-to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shift-and a path to mastering challenges that cannot besolvedany other way. The potential is enormous, and we have a clearpathto make it real. Come join us. Job Summary: We are seeking a Silicon Photonics Test Engineer to develop, maintain, and execute automated optical/electrical test systems for wafer-level photonic devices. The ideal candidate will have hands-on experience with photonics testing, data analysis, and test automation, and a solid understanding of optoelectronic device physics and semiconductor processes. Responsibilities: Design and perform optical and electrical characterization of silicon photonic components (e.g., modulators, detectors, filters, couplers). Develop and maintain automated test setups for wafer-level and die-level testing. Interface with design, process, and packaging teams to define test requirements, performance metrics, and data formats. Analyze large datasets to extract key device parameters and identify performance trends or process drifts. Collaborate with software engineers to implement data acquisition and control in Python, MATLAB, or similar frameworks. Perform calibration, alignment, and validation of optical test stations. Document test methodologies, standard operating procedures (SOPs), and support transfer of test processes to production. Contribute to the continuous improvement of measurement accuracy, throughput, and system reliability. Experience/Qualifications: Required Qualifications B.S. or M.S. in Electrical Engineering, Physics, Optics, Photonics, or a related field. 2-5 years of experience in photonics testing or optical characterization (academic or industry). Hands-on experience with optical and electrical instrumentation, including power meters, tunable lasers, polarization controllers, photodiodes (PDs), optical vector analyzers, VNAs, SMUs, and optical/electrical switches. Proficiency in data analysis and automation scripting, especially in Python. Familiarity with semiconductor wafer probing, electrical test systems, and instrumentation control interfaces (e.g., GPIB, VISA, TCP/IP). Solid understanding of silicon photonics device physics and integrated optics. Demonstrated problem-solving ability, strong documentation skills, and effective team collaboration. Preferred Qualifications Experience with wafer-level photonic probing or automated probe stations. Knowledge of optical packaging, fiber alignment, and coupling techniques. Familiarity with statistical data analysis, yield tracking, and process control methodologies. Experience with database systems (e.g., SQL) or automated test data pipelines. Experience using version control systems (Git) and implementing CI/CD pipelines for test automation. Proficiency with optical simulation tools such as Zemax (or Lumerical/COMSOL). Experience developing or maintaining production-grade test management systems. Key Competencies Strong experimental and analytical mindset. Excellent cross-disciplinary communication, especially across optical, electrical, and software domains. Self-motivated, detail-oriented, and capable of working independently. Comfortable operating in fast-paced R&D and production environments. PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to . We are not accepting unsolicited resumes from employment agencies. The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located.Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future. U.S. Base Pay Range $104,500-$121,000 USDBay Area Pay Range $125,000-$148,000 USD

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)

A leading AI-powered firm in Palo Alto, California, seeks a Senior Performance Test Engineer to lead diverse testing strategies for web applications and data platforms. With 5-8 years of performance testing experience, the ideal candidate will design and analyze tests, collaborate with teams, and provide insights. Strong proficiency in tools like JMeter and scripting in languages such as Java or Python is essential. The company offers an innovative environment and values performance excellence. #J-18808-Ljbffr

We're hiring a Lead Software Automation & Toolchain Engineer to join a frontier physical AI startup building autonomous systems that can experiment, reason, and discover in the real world. The team is a small, world-class group pushing beyond simulation and software-only AI. Their systems operate across a 20,000 sq ft physical intelligence factory and support a $42M federally funded program, enabling ML-driven agents to directly command real engineering tools and workflows. This role owns the automation substrate that connects AI agents to the physical world - unifying CAD, EDA, CAE, and scientific tools into clean, deterministic, agent-callable interfaces. You'll define how intelligent systems manipulate real engineering stacks at scale. What you'll do: Build reproducible adapters and automation pipelines that make heterogeneous engineering tools fully agent-callable Design structured APIs, parsers, classifiers, and fault-tolerant execution flows across CAD, EDA, CAE, and scientific toolchains Wrap commercial and open-source engineering tools into deterministic, scriptable workflows with robust validation and recovery Partner closely with ML researchers, agent systems engineers, and domain experts to automate end-to-end engineering workflows Make foundational architecture decisions in a fast-moving, first-principles environment What we're looking for: Senior or Lead-level experience automating engineering or scientific tools (e.g., CAD, EDA, CAE, CAM, COMSOL, simulation platforms) Strong systems-thinking ability across heterogeneous tools, file formats, and execution environments Proven ability to build reproducible, fault-tolerant automation pipelines and structured tool interfaces Comfort working at the boundary of software systems, ML-driven agents, and real-world engineering workflows Thrives in high-ownership, frontier research environments Location: San Francisco or Redwood City

Shyld AI is building Physical AI systems that operate autonomously in hospitals to reduce infections and improve clinical workflows. Our platform combines sensing, embedded systems, AI, and hardware deployed in real clinical environments. We are looking for a hands-on Hardware Systems & Test Engineer to help us design, test, validate, and deploy reliable hardware systems at scale. This role sits at the intersection of hardware testing, QA, system integration, and field deployment, and will play a critical role in ensuring our devices perform safely and reliably in hospitals. What You'll Do Own hardware testing and system-level validation for Shyld AI devices Define and execute hardware QA processes, including incoming inspection, functional testing, and reliability testing Assist with hardware design and bring-up, including schematic reviews, PCB bring-up, and system integration Work closely with suppliers and contract manufacturers, helping manage technical communication, troubleshooting, and design iterations Organize and maintain the hardware lab, including test fixtures, tools, inventory, and documentation Debug and troubleshoot hardware, firmware, and system-level issues in both lab and field environments Evaluate, prototype, and test new sensors and hardware components Support device installations at customer sites, including setup, validation, and troubleshooting in hospital environments Create clear documentation for test procedures, installation workflows, and field learnings What We're Looking For 3+ years of hands-on experience in hardware testing, system integration, or hardware engineering Strong experience debugging real hardware systems (not just simulations) Comfortable working across hardware, firmware, and software boundaries Experience with lab tools such as oscilloscopes, multimeters, power supplies, logic analyzers Familiarity with embedded systems, sensors, and communication interfaces (I2C, SPI, UART, USB, Ethernet, etc.) Ability to communicate clearly with suppliers and manufacturing partners Comfortable traveling to customer sites and working hands-on in the field Highly organized, detail-oriented, and ownership-driven Nice to Have Experience with medical devices, robotics, or safety-critical systems Exposure to manufacturing, DFM, or production test Experience bringing up new sensors or evaluating hardware components Familiarity with regulated or compliance-driven environments Python or scripting experience for test automation Why Join Shyld AI Work on real hardware deployed in hospitals, not demos High ownership and direct impact on product reliability and customer success Small, fast-moving team with strong technical depth Opportunity to grow into Technical Operations or Hardware Lead roles over time