Jobs / Tes***
Sr. Software Engineer, Data Platform, Factory Software
Tes*** · Fremont, CA, United States
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Fremont, CA, United States168,000-252,000 USD/yearlyRemote
Remuneration
168,000-252,000 USD/yearly
Location
Fremont, CA, United States
Visa sponsorship
Sponsors visa
Job summary
What to Expect Tes***'s Factory Software team builds the systems that keep our factories running — and the data layer underneath all of it is what makes real-time decisions, AI automation, and operational intelligence possible.
Benefits
Compensation andAlong with competitive pay, as a full-time Tesla employee, you are eligible forAt day 1 of hire:Medical plans > plan options with $0 payroll deductionFamily-building, fertility, adoption and surrogacyDental (including orthodontic coverage) and vision plans, both have options withCompany Paid (Health Savings Accounts) HSA Contribution when enrolled in the HigHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financialCompany paid Basic Life, AD&DShort-term and long-term disability insurance (90 day waiting period)Employee Assistance Program
Qualifications
- Degree in Computer Science, Software Engineering, or a related field, or equivalent experience
- 5+ years of backend or data engineering experience, with 2+ years of hands-on ClickHouse in production — you've designed schemas, tuned queries, and operated clusters under real load, not just ran tutorials
- Strong proficiency in SQL for analytical workloads and at least one systems/backend language — Go, Python, Rust, or C# — for building services and pipelines around the data layer
- Experience with streaming data ingestion — Kafka, Kinesis, or equivalent — and designing low-latency pipelines from event sources into columnar storage
- Hands-on experience enabling AI/ML workloads with data infrastructure — building data layers that support RAG pipelines, LLM tool-use, agent memory, or real-time feature serving
- Experience deploying and operating data services on Kubernetes, with strong observability practices (metrics, tracing, alerting)
Responsibilities
- You'll own ClickHouse as a core platform — not as a DBA maintaining a box, but as an engineer building the storage backbone that powers every application, pipeline, and AI agent in our factory software ecosystem.
- You'll define how data flows in, how it's modeled, how it's queried at scale, and how AI agents consume it to drive autonomous decisions on the factory floor.
- What You'll Do
- What You'll Bring
Degrees
AssociateDegree
Work schedule
On-call
Industry
AutomotiveEnergyHealthcareInsuranceManufacturingMediaPublic-sector