Tesla Motors, Inc.
Software Engineer, Battery Manufacturing Development
Tesla Motors, Inc., Palo Alto, California, United States, 94306
What to Expect
Tesla is looking for an experienced, full-stack Software Engineer to contribute to the development of the data factory and software services for our cutting-edge battery products. This position will help drive technological advancement by delivering data and software solutions to solve high-volume manufacturing problems. Battery development is at the heart of Tesla's mission, and this is an exciting opportunity to address the central challenges in scaling electric vehicle manufacturing and to see the physical impact of your work. Tesla is a demanding and fast-paced environment where you will work with a highly motivated team on extremely challenging projects.
What You'll Do
Lead the design and development of our model training infrastructure for advanced Data Science applications in manufacturing
Collaborate with engineers across multiple departments on model design and hardware selection for efficient compilation and execution
Build scalable and reliable pipelines to deploy models and monitor performance metrics in a production environment
Keep up-to-date and conduct research to identify new ML training approaches and incorporate these into our platform
Provide technical guidance to teams within Manufacturing's data engineering / software community
What You'll Bring
Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability
Proficiency in Python and/or C++ with 5+ years of experience in Software Development
Demonstrated experience in developing and maintaining production-grade ML infrastructure
Experience working with training frameworks and understanding of modern machine learning concepts
Experience working with ML compilers
Experience with distributed computing and big data analytics
Experience leading a software product from concept to production
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 have options with a $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 to include: 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 - $246,720/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.
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What You'll Do
Lead the design and development of our model training infrastructure for advanced Data Science applications in manufacturing
Collaborate with engineers across multiple departments on model design and hardware selection for efficient compilation and execution
Build scalable and reliable pipelines to deploy models and monitor performance metrics in a production environment
Keep up-to-date and conduct research to identify new ML training approaches and incorporate these into our platform
Provide technical guidance to teams within Manufacturing's data engineering / software community
What You'll Bring
Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability
Proficiency in Python and/or C++ with 5+ years of experience in Software Development
Demonstrated experience in developing and maintaining production-grade ML infrastructure
Experience working with training frameworks and understanding of modern machine learning concepts
Experience working with ML compilers
Experience with distributed computing and big data analytics
Experience leading a software product from concept to production
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 have options with a $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 to include: 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 - $246,720/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.
#J-18808-Ljbffr