Software Engineer, Dojo

Key Skills

API, Computer Vision (CV), Design, GoLang, Infrastructure as code, Java Programming, Machine learning techniques, Node.js, Python Programming, Streaming APIs

Job Description

Tesla's Autopilot Machine Learning team is currently seeking a software engineer to design and build a database and associated RESTful API for command and control of a custom ML training accelerator (DOJO). In particular, this engineer will work with hardware designers, embedded software engineers, and ML engineers to design, prototype, and implement a web service that is responsible for interfacing to existing and future custom distributed systems for ML training. The candidate must be comfortable with from-scratch API design and associated back-end software stack specification. Expertise in design of web APIs and associated back-end database for eventual integration to a custom web application are essential for this position.

What You’ll Do

• Set technical direction, architect, implement and maintain backend API stack for Machine Learning coordination of a highly distributed system.
• Work on the platform of tools and infrastructure that the Machine Learning team needs to be effective. This spans the scope from machine firmware interface to frontend user interface.
• Automation and coordinate required hardware resources with the team managing the cluster hardware to maintain high availability.
• Interface with both Machine Learning and hardware design teams to understand current and future requirements and priorities. 

What You’ll Bring

• Strong experience building APIs in Python, GoLang, Node.js, or Java.
• Experience working in multithreaded or highly distributed Linux environments.
• BS/MS in Computer Science or the equivalent in experience with evidence of exceptional ability.
• Minimum 5 years' experience building web services.
• Interest in Machine Learning, Computer Vision or Neural Networks.

Extra but not required:

• Experience building modern web applications using React or similar component-based libraries.
• Experience working with large computer clusters.
• Experience working with distributed networks and IoT coordination.
• Experience working with workload management software such as Slurm or LSF. 

Compensation and Benefits

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)
• LGBTQ+ care concierge services
• 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

$104,000 - $348,000/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.