Tesla AI and Robotics Compute Hardware Validation EngineerTesla AI and robotics programs rely on compute for training and inference. To support this growing demand, the datacenter development teams have been working on custom data center rack hardware. On the compute hardware validation team, you can expect to be responsible for validating the performance, stability, and reliability of these systems from the component up to system level.
You will bring multi-disciplinary insight to guide HW, SW, and FW feature development.ResponsibilitiesLead a team of junior engineers and technicians in solving complex problems sets and deliver findings, next steps, escalations to Exec level visibilityDevelop test programs to stress and measure KPIs relating to system power and performance, study stability over the lifetime of electronics productsCollaborate with design engineers, reliability scientists, material scientists, quality, and service to identify failure modes, generate design validation and reliability test plans to isolate these effectsPerform component-level, system-level validation and reliability tests, simulating both realistic and accelerated use cases, to authenticate product viability leading into mass productionIdentify and execute experiments targeting new technologies for critical failures impacting novel use casesDesign tester and bring up systems including lab hardware integration, tester software, and custom circuits/PCBsRequirementsDegree in Computer, Electrical, or Mechatronics EngineeringDemonstrated experience with Python, C/C++, and Linux5+ years' experience working with complex electronics systems in the consumer or computer industry in a system integration or validation capacityWorking knowledge in some or all the typical EE domains such as PCIe, communication protocols, Post Silicon, Power, thermals, HW optimization, SIPI, etc.Experience solving hardware optimization problems balancing power, thermals, perf and reliability parametersExperience with hardware design tools such as Altium, Cadence, LTSpice, Catia, SolidworksExcellent grasp of engineering fundamentals, and experience with standard lab equipment (power supplies, electronic loads, o-scopes, DMMs etc.)Comfort with managing competing priorities, complex timelines and resource limitationsCompensation & BenefitsBenefitsAlong with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:Medical plans > plan options with $0 payroll deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&DShort-term and long-term disability insurance (90 day waiting period)Employee Assistance ProgramSick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks programExpected Compensation $91,600 - $195,600/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Sr. Electrical Test Engineer, SI Datacenter Hardware in palo alto at Unknown Company
This position is listed as full time and onsite.