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Tesla

Software Engineer, Backend, Vehicle Engineering

Tesla, Palo Alto, California, United States, 94306


Tesla's Vehicle Engineering department is composed of thousands of the world's best vehicle, battery, and manufacturing engineers. These engineers are responsible for the mechanical and industrial design of all major programs, for example, batteries, Optimus, Robotaxi, and all new factories. Engineering Automation Software, which is part of Vehicle Engineering, is responsible for making the tools these engineers use every bit as intelligent and dynamic as the products themselves.As a software engineer on the Engineering Automation Software team, you will develop software applications that automate or streamline parts of the design process.

Responsibilities

Build data pipelines that handle a diverse set of engineering related data such as operational meta data, drawings, telemetry, and 3D geometriesDevelop and optimize robust applications through proficient use of Go and PythonManage our deployment infrastructure using custom GitHub Actions, Docker, ArgoCD, with images deployed to on-prem Kubernetes clustersInfluence architectural decisions with focus on security, scalability, reliability and high-performance using tools like Prometheus, Grafana, Splunk and OpsGenieDesign and implement tools, tests, metrics, and dashboards to accelerate the development cycle of our simulationsWork closely with frontend and machine learning engineers to seamlessly integrate with backend systemsWork closely with the other Vehicle Engineering teams to design and implement backend components required for future Vehicle Engineering features and processesRequirements

Strong knowledge of at least one programming language related to data engineering, such as Python or GolangProven experience in database management with specific proficiency in PostgreSQL, including the ability to write complex SQL statements. Familiarity with database concepts such as views and SQL functionsExperience with data processing frameworks such as Spark, Dask, or Ray is preferredExperience with GitHub Actions, Docker, ArgoCD, and Kubernetes is preferredExperience with scientific computing libraries such as numpy, pandas, or scikit-learn is preferredExperience with machine learning libraries such as PyTorch or JAX is preferredExperience with ElasticSearch or other scalable search systems is preferredKnowledge of machine learning, computer vision, or neural networks is preferredCompensation 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 - $348,000/annual salary, depending on level + 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.