Software Engineer, Camera, AI Platforms at Tesla
Palo Alto, CA 94301
About the Job
Software Engineer, Camera, AI PlatformsJob CategoryAI & RoboticsLocationPalo Alto, CaliforniaReq
ID222227Job TypeFull-timeTesla participates in the E-Verify ProgramWhat to ExpectAs an Autonomy Camera Software Engineer, your technical skills will be applied to a variety of components within the imaging pipeline and software stack to optimize system performance and fundamentally improve image quality for computer vision
By partnering closely with hardware, computer vision, UI/UX, and system software engineers, you will be part of a cross functional, ongoing initiative of delivering the best possible view of the world for consumption by neural networks and human-facing displays. Your code will connect with cameras, image signal processors, neural networks, codecs, telemetry, and other components executing on the Tesla AI computer
Additionally, the camera software team builds tools for benchmarking, characterizing, and optimizing camera 3A and ISP configurations, and is responsible for testing and evaluation of software frameworks to ensure the system and functional stability of our stack. What You’ll DoWrite, debug and maintain robust C/C++ software for the Autopilot and our Humanoid robot software stack; you will work on code related to our high-framerate Camera & Vision stack, write GPU kernels, implement and profile system frameworks, or improve/extend codecs for video collection Architect, tune, and evaluate camera control and image processing algorithms Implement algorithms that track camera and optical performance over time, connecting with service and user interfaces Iterate on new features through simulation, testing, and targeted fleet data analysis Define requirements and coordinate with relevant vehicle subsystems, manufacturing, service, and other teams to optimize optical performance and reliability What You’ll BringPractical experience programming in C/C++ software, including modern C/C++ (C++14/17/20), multithreading, and Python
Cuda/OpenCL experience a plusKnowledge of digital camera systems and related concepts, including color filters, exposure control, timing, drivers, and in-sensor HDR techniques
Experience with imager bring-upExperience or familiarity with ISP pipelines, drivers, and associated tunings Experience or familiarity with Computer Vision, Machine Learning & related software concepts Experience with performant embedded software design, object-oriented C++ Proficient developing software on a Linux host, for embedded Linux targets a plus Compensation and BenefitsBenefits 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 deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)LGBTQ+ care concierge services401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary 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 $104,000 - $360,000/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.Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor 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.For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here)
Please contact
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
ID222227Job TypeFull-timeTesla participates in the E-Verify ProgramWhat to ExpectAs an Autonomy Camera Software Engineer, your technical skills will be applied to a variety of components within the imaging pipeline and software stack to optimize system performance and fundamentally improve image quality for computer vision
By partnering closely with hardware, computer vision, UI/UX, and system software engineers, you will be part of a cross functional, ongoing initiative of delivering the best possible view of the world for consumption by neural networks and human-facing displays. Your code will connect with cameras, image signal processors, neural networks, codecs, telemetry, and other components executing on the Tesla AI computer
Additionally, the camera software team builds tools for benchmarking, characterizing, and optimizing camera 3A and ISP configurations, and is responsible for testing and evaluation of software frameworks to ensure the system and functional stability of our stack. What You’ll DoWrite, debug and maintain robust C/C++ software for the Autopilot and our Humanoid robot software stack; you will work on code related to our high-framerate Camera & Vision stack, write GPU kernels, implement and profile system frameworks, or improve/extend codecs for video collection Architect, tune, and evaluate camera control and image processing algorithms Implement algorithms that track camera and optical performance over time, connecting with service and user interfaces Iterate on new features through simulation, testing, and targeted fleet data analysis Define requirements and coordinate with relevant vehicle subsystems, manufacturing, service, and other teams to optimize optical performance and reliability What You’ll BringPractical experience programming in C/C++ software, including modern C/C++ (C++14/17/20), multithreading, and Python
Cuda/OpenCL experience a plusKnowledge of digital camera systems and related concepts, including color filters, exposure control, timing, drivers, and in-sensor HDR techniques
Experience with imager bring-upExperience or familiarity with ISP pipelines, drivers, and associated tunings Experience or familiarity with Computer Vision, Machine Learning & related software concepts Experience with performant embedded software design, object-oriented C++ Proficient developing software on a Linux host, for embedded Linux targets a plus Compensation and BenefitsBenefits 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 deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)LGBTQ+ care concierge services401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary 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 $104,000 - $360,000/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.Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor 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.For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here)
Please contact
accommodationrequest@tesla.com
for additional information or to request accommodations.Privacy is a top priority for TeslaWe 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
