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Tesla

Fremont / Global

Software Engineer, Backend

Job Description

Manufacturing Quality Data Engineering RoleThe Manufacturing Quality Data Engineering team specializes in predicting safety critical issues before they occur, protecting our customers. As part of Tesla's Vehicle Engineering organization, you'll have access to the data gold mine of design, manufacturing, and vehicle data sources, enabling you to design, develop, and deploy innovative generative AI and machine learning platforms globally. In this role, you'll focus on developing software engineer backend system and Application Programming Interface (APIs).ResponsibilitiesBuild elegant, scalable APIs for interacting with applications, systems, and databases, including interacting with real-time systems using technologies like Apache Kafka and Apache Flink.Design, develop, and maintain scalable backend systems in Python and Go, including internal web applications and data platformsArchitect new system infrastructures, databases, and integration layers to meet application needs, ensuring seamless frontend integrationCollaborate with cross-functional teams (e.g., frontend, DevOps, data engineering) to deploy systems smoothly, iterate rapidly on interactive solutions, and resolve complex technical issues.Uphold best software engineering practices through code reviews, design documentation, coding standards, and troubleshooting to ensure high-quality, maintainable backend codeStay current with industry trends and emerging technologies, applying them to innovate in backend systems for areas like Industry 4.0, equipment sensors, and vehicle data analyticsImplement logging and monitoring systems to track health, optimize performance, scalability, and reliability of backend infrastructure supporting AI-driven workflowsRequirementsBachelor's Degree in Computer Science, Information Technology, or a related field, or equivalent experience3+ years of work experience in software engineering or related fieldsExpert-level proficiency in designing and developing scalable, efficient, and secure APIs using Python and Go, with in-depth knowledge of REST and gRPC standards, and experience with popular backend frameworks such as Flask, FastAPI (Python) and Gin, or Echo (Go)Experience with databases, including SQL (e.g. MySQL, Microsoft SQL), NoSQL (e.g. MongoDB, Elasticsearch) databases, and column-store database (e.g. ClickHouse) and good knowledge of query optimizationExperience with containerization using Docker and orchestration using Kubernetes, and experience working in a fast-paced environment with multiple tight deadlinesStrong understanding of software design patterns, principles, and best practices, and experience with Agile development methodologies and version control systems such as GitCompensation & 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 $140,000 - $252,000/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.
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