Tesla

Makes electric cars, robotaxis and grid batteries

Quality Systems Engineer - Quality Management Systems

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeFremont, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Industrial Engineering, Computer Science, or Software Engineering, or equivalent experience.
At least 3 years in a quality or quality systems role, or in a Forward Deployed, Applied SI, or Solutions Engineering role shipping to real end users.
Knowledge of quality system industry standards, including ISO 9001, IATF 16949, and AIAG.
Manufacturing or operations fluency, including MES, SCADA, CMMS, and historian systems.
Working proficiency in Python and SQL, including designing and running production data pipelines, authoring ETL into shared systems, and debugging database query plans; experience with MySQL, Postgres, or similar warehouse or columnar systems, orchestration tools, and CI/CD.
Understanding of software and database design sufficient to work closely with a development team and translate business needs into software, including writing a schema and data contract rather than only a specification.
Comfort with modern SI/LLM application patterns, including tool use, structured output, retrieval, prompts as code, evaluation harnesses, agent frameworks, standardized tool/model-context protocols, and cost/latency trade-offs; ability to design evaluations that predict user outcomes.
Ability to run a short user-shadowing session and return with prioritized, buildable improvements.
Ability to identify inconsistencies in data, process, and system behavior and collaborate across functional groups.

Responsibilities

Translate business process needs into software design requirements grounded in real context.
Identify gaps between processes and systems across quality functions and propose tools that provide visibility into bottlenecks, inconsistencies, and data gaps.
Translate site-specific gaps into a configurable fix in an existing capability, a new tool or data source, or a process change owned by the user.
Build data pipelines, model and agent integrations, retrieval and grounding, evaluation harnesses, and user-facing surfaces.
Deploy SI-enabled quality capabilities end to end, from specification and prototype through evaluation, staging, production, monitoring, and iteration.
Partner with the core platform team on functional and timeline requirements when work belongs in the platform rather than a single deployment.
Prioritize multiple deployments across departments and provide clear status updates to stakeholders.
Implement existing best practices, develop new ones, and feed them back into shared patterns for reuse at other sites.

Desired Qualifications

Experience with Tableau.

Category	Manufacturing
Location	Fremont, California
Requisition ID	288040
Type	Full-time

Job Description

<p>Tesla is seeking an engineer to develop, deploy, and iterate on SI-powered quality systems that operations teams use every shift. You'll translate on-the-floor pain into software requirements, build and ship the data, model, and UX changes to close the gap, and own adoption on-site. The role spans business process design, SI/agent capability development, data pipeline work, and change management, with quantifiable improvements to Tesla's quality systems as the yardstick.</p>

Job Responsibilities

Translate business process needs into software design requirements with real context
Proactively identify gaps between process and system across quality functions; propose tools that give visibility into bottlenecks, inconsistencies, and data gaps
Translate site-specific gaps into either a configurable fix in an existing capability, a new tool / data source, or a process change the user owns
Build the data pipelines, model / agent integrations, retrieval and grounding, eval harnesses, and user-facing surfaces
Deploy SI-enabled quality capabilities end-to-end: spec → prototype → eval → stage → production → monitor → iterate
Partner with the core platform team on functional and timeline requirements when work belongs in the platform rather than in a single deployment
Prioritize multiple deployments across departments; provide clear status updates to stakeholders
Implement existing best practices and develop new ones; feed them back into shared patterns so other sites can reuse them

Job Requirements

Degree in Industrial Engineering, Computer Science, Software Engineering, or equivalent experience
Minimum 3+ years in a quality or quality systems role, or in a Forward Deployed / Applied SI / Solutions Engineering role shipping to real end users
Knowledge of quality system industry standards including ISO 9001, IATF 16949, and AIAG
Manufacturing or operations fluency (MES, SCADA, CMMS, historian systems)
Working proficiency in Python and SQL-able to design and run production data pipelines, author ETL into shared systems, and debug database query plans; experience with MySQL, Postgres, or similar warehouse / columnar systems, orchestration tools, and CI/CD
Understanding of software and database design to work closely with a development team and translate business needs into software-able to write a schema and a data contract, not just a spec
Comfort with modern SI / LLM application patterns: tool use, structured output, retrieval, prompts as code, evaluation harnesses, agent frameworks, standardized tool / model-context protocols, and cost / latency trade-offs. Can design evals that predict user outcomes
Data visualization experience, Tableau preferred
Can run a short shadowing session with a user and come back with prioritized, buildable improvements
Detail-oriented team player, spots inconsistencies in data, process, and system behavior before users do, and collaborates well across diverse functional groups

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

Recently Posted Jobs

Explore more opportunities at Tesla

See more jobs