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Staff Manufacturing Test Engineer, Optimus

Tesla, Inc.

Palo Alto (CA)

On-site

USD 111,000 - 434,000

Full time

30+ days ago

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Job summary

An innovative firm is seeking a highly motivated Staff Manufacturing Test Engineer to focus on developing manufacturing test software. In this pivotal role, you will collaborate with cross-functional teams to design and maintain scalable testing systems, ensuring high-quality products in a fast-paced environment. Your expertise in programming languages like Go, Python, and JavaScript will be essential as you create solutions that enhance efficiency and reliability in production. Join this forward-thinking company to contribute significantly to the future of AI robotics and make a real impact in the industry.

Benefits

Aetna PPO and HSA plans
Family-building benefits
Dental and vision plans
401(k) with employer match
Company paid life insurance
Employee Assistance Program
Sick and Vacation time
Back-up childcare resources
Commuter benefits
Employee discounts and perks program

Qualifications

  • Proven experience in launching new products at high volume.
  • Strong background in software development for manufacturing environments.

Responsibilities

  • Design and develop scalable testing software for assembly quality validation.
  • Collaborate with cross-functional teams to manage data and optimize performance.

Skills

Golang
Python
JavaScript
Full stack software engineering
Linux OS
Data visualization
Database management
Manufacturing environment experience

Education

Degree in Computer Science
Degree in Computer Engineering
Degree in Mechanical Engineering
Degree in Electrical Engineering

Tools

Docker
Telegraf
Kafka
Grafana
SQL databases
NoSQL databases

Job description

Staff Manufacturing Test Engineer, Optimus

Job Category: Manufacturing

Location: [Location]

Req. ID: 240555

Job Type: Full-time

What to Expect:

Tesla is looking for a highly motivated Staff Engineer focusing on manufacturing test software development. Collaborating with cross-functional teams, you will be responsible for writing software for testing and calibration equipment, as well as managing the data. Your role in this demanding and fast-paced environment will contribute to the development of a groundbreaking product, aligning with our mission of achieving machine-to-build-machine capability. If you have proven experience in launching new products at high volume, and a track record of leading successful projects, join Tesla to play a pivotal role in shaping the future of AI robotics.

What You’ll Do:

  • Design, develop and maintain scalable testing software systems to thoroughly validate assembly quality on a manufacturing line, ensuring high-speed process and high-quality products.
  • Code software backend in Go/Python and front end in JavaScript.
  • Create testing software that can be easily deployed to many manufacturing testers for mass production, using cloud development tools such as Docker.
  • Create software solutions that enable easy maintenance of test equipment by production teams, reducing downtime and increasing overall efficiency.
  • Optimize system performance, scalability, and reliability through logging, monitoring, and data management and visualization.
  • Collaborate with the firmware team to integrate Unified Diagnostic Services (UDS) routines into the tester application.
  • Design and develop comprehensive self-test, ensuring thorough validation of its functionality, performance, and reliability.
  • Project manage tester development for the entire line.

What You’ll Bring:

  • Degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, similar degree, or equivalent experience.
  • Full stack software engineering capability.
  • Fluency in Golang, Python, and JavaScript.
  • Experience in working with Linux OS.
  • Familiarity with hardware connection protocols such as CAN and EtherCAT.
  • Experience with databases, including SQL (e.g. MySQL, Microsoft SQL), NoSQL (e.g. MongoDB, Elasticsearch), and column-store database (e.g. ClickHouse) with good knowledge of query optimization.
  • Experience in working in a manufacturing environment and/or with physical hardware devices.
  • Familiarity with data pipeline/data visualization tools such as Telegraf, Kafka, and Grafana.

Compensation and Benefits:

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction.
  • Family-building, fertility, adoption, and surrogacy benefits.
  • Dental (including orthodontic coverage) and vision plans, both with options for $0 paycheck contribution.
  • Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA.
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA).
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits.
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance.
  • Employee Assistance Program.
  • Sick and Vacation time (Flex time for salary positions), and Paid Holidays.
  • Back-up childcare and parenting support resources.
  • Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance.
  • Weight Loss and Tobacco Cessation Programs.
  • Tesla Babies program.
  • Commuter benefits.
  • Employee discounts and perks program.

Expected Compensation:

$111,200 - $433,680/annual salary + cash and stock awards + benefits.
Pay 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.

Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state, or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.

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