Sr. Software Engineer, AI

We areseekinga highly motivated and collaborative engineer to join our team to drive the development of agentic AI to support the growth of our energy business, including Industrial, Residential, Supercharger, Solar and other internal business verticals.

As a key member of the team, you will design,developand iterate on agentic solutions thatsolvekey internal workstreams built on data from various data sources, including deployed fleets, internal applications, and other data warehouses. Your work will accelerate how we gather insights, contribute to our understanding of key business performance indicators, inform data-driven decisions tooptimizeourstrategies,and drive business growth.

You willbe responsible forleading the development of agentic efforts toidentifyand resolve fleet-wide performance, operation, and maintenance challenges across our growing fleet of energy products. You will work closely with cross-functional teams, including Industrial Energy, Residential Energy, and Solar Product and Service Engineering, to maximize the product health of our fleet.

• Architect and deploy multimodal agentic systems using LLMs to create next-generation automation tools that can beleveragedby both internal and external teams

• Build high-availability systems and take ownership of critical infrastructure, driving continuous improvements in reliability, latency, and security

• Develop and test quick prototypes tovalidateconcepts, create beta launches, collectfeedbackand iterate onoptimalsolutions before scaling up

• Proactivelyidentifyand lead product optimizations and enhancements, while refining backend APIs to scale with product demand and align with IAM best practices

• Drive adoption of large language model solutions and machine learning algorithms for optimizing how we make sense of telemetry and internal fleet data

• Research and incorporate emerging language model updates, infrastructures, tools, and technologies, especiallypertaining toagentic AI

• Help shape the product roadmap and scaling strategy in partnership with engineering and forward-deployed resources

• Degree in Computer Science, Engineering, Physics, or equivalent experience

• Have built or deployed systems powered by LLMs or generative models and understand how model behavior affects product experience

• Solid understanding of software development best practices, design patterns, and scalability principles, including strategies forcomponentreuse and separation of concerns

• Deep knowledge of transformer-based LLMs, tokenization, embeddings, context management,evalsand prompt engineering

• Experienceof API design and microservice architecture (Kubernetes/Docker/Message Queues/Redis)

• Demonstrated experience deploying and scaling production-grade agentic solutions with modern AI frameworks (RAG, agent orchestration, GenAI SDKs, etc.)

• Proven ability to evaluate andoptimizeLLM usage for downstream tasks

Along 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 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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

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.