Tesla

Makes electric cars, robotaxis and grid batteries

Validation & Tooling Software Engineer - Residential Energy Products

Backend EngineeringConfirmed live in the last 24 hours

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience is required.
Experience building internal developer, validation, or simulation tooling that engineers rely on daily is required.
Proficiency in Python and Go is required for tooling and integration.
Comfort working across tools and systems under test, including embedded or device software, multi-process Linux, inter-process communication, logs, and traces is required.
Real-world experience in at least one of the following is required: Software-in-the-Loop (SIL), simulation harnesses, or high-fidelity test environments for embedded or multi-process systems; debugging, visualization, or observability tooling such as dashboards, report generators, or timeline/control-flow views; trace, instrumentation, capture/replay, or hook-based systems for reproducing field or lab scenarios offline; or extending test or simulation platforms to support new products, hardware variants, or regional configurations.
Strong software fundamentals, including clear interfaces, maintainability, failure handling, and testability, are required.
Ability to multitask, prioritize, and work in a fast-paced, collaborative environment is required.

Responsibilities

Design, implement, and maintain internal Software-in-the-Loop (SIL), harness, and developer tooling, primarily in Python and Go, to improve correctness, debuggability, and release confidence for residential energy device software.
Build and evolve close-to-real-life SIL environments for multi-process embedded Linux systems, closing gaps between simulation and field behavior where they matter most.
Develop visualization and debugging tools, including report generation, SIL-driven dashboards, control-flow visualization, and related analysis views, so engineers can understand system behavior.
Implement and support trace, hook, and instrumentation systems that reach into device software written in Go, Rust, C, and C++; enable field trace capture and faithful replay in SIL.
Onboard new products, product revisions, capabilities, and regional or market-specific configurations into shared tooling and SIL workflows.
Collaborate with Product, Device Software, Hardware, and Validation teams to turn team pain points into tool designs, tests, and shippable internal platforms.
Improve the reliability and usability of tooling used daily by engineers and reduce time to root cause for lab, SIL, and field issues.
Contribute to automated tests, continuous integration (CI) integration, and engineering practices that improve product reliability, developer productivity, and release confidence.
Support production and fleet needs through bring-up, field anomaly reproduction, and continuous improvement after launch.

Desired Qualifications

Rust, C, or C++ experience is a plus for working close to device software and multi-process systems.
Experience with unit or integration automation, continuous integration (CI) pipelines, or hardware-in-the-loop (HIL) validation adjacent to SIL is a plus.
Experience with Docker and QEMU, or similar container and machine emulation tooling, is a plus for packaging, isolation, and realistic SIL environments.
Exposure to complex embedded Linux systems, home energy, battery or inverter products, multi-device site setups, or market-specific product variants is a plus.

Category	Energy Engineering
Location	Palo Alto, California
Requisition ID	287272
Type	Full-time

Job Description

The Tesla Energy Device Software team is looking for a Software Engineer to design and maintain the internal tooling and simulation infrastructure that lets residential energy firmware teams move faster with higher confidence. You will work across Powerwall, Backup Gateway, Wall Connector, and related home energy products—building Software-in-the-Loop (SIL) environments that approach real-world behavior, and the visualization and debugging tools that make complex multi-process systems understandable. <p>Device software is only as good as the feedback loop around it. Our goal is tooling that shortens the path from idea to validated behavior: high-fidelity SIL, field-trace capture and replay, rich reports and dashboards, control-flow and system visibility, and extensible instrumentation (traces, hooks, probes). As products, revisions, capabilities, and regional variants grow—including market-specific configurations such as external companion hardware—you will regularly extend the platform so new and existing products can be brought into the same validation and debugging workflow. </p>

Job Responsibilities

Design, implement, and maintain internal SIL, harness, and developer tooling (primarily Python and Go) that improves correctness, debuggability, and release confidence for residential energy device software
Build and evolve close-to-real-life SIL environments for multi-process embedded Linux systems; close gaps between simulation and field behavior where they matter most
Develop visualization and debugging tools—including report generation, SIL-driven dashboards, control-flow visualization, and related analysis views—so engineers can understand system behavior without spelunking logs alone
Implement and support trace/hook/instrumentation systems that reach into device software (Go, Rust, C/C++); enable capture of traces in the field and faithful replay in SIL
Onboard new products, product revisions, capabilities, and regional or market-specific configurations (e.g. installations that require additional external hardware) into shared tooling and SIL workflows
Collaborate with Product, Device Software, Hardware, and Validation to turn team pain points into clear tool designs, tests, and shippable internal platforms
Improve reliability and usability of tooling used daily by engineers; reduce time-to-root-cause for lab, SIL, and field issues
Contribute to automated tests, CI integration, and engineering practices that raise product reliability, developer productivity, and release confidence
Support production and fleet needs where tooling helps: bring-up, field anomaly reproduction, and continuous improvement after launch

Job Requirements

Degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
Ability to multi-task, prioritize, and work in an extremely fast-paced, collaborative environment
Experience building internal developer, validation, or simulation tooling that other engineers rely on day to day
Proficiency in languages used for tooling and integration—Python, Go; Rust, C, or C++ experience is a plus for working close to device software and multi-process systems
Comfort working across the boundary between tools and the systems under test: embedded or device software, multi-process Linux, IPC, logs, and traces
Real-world experience in one or more of: Software-in-the-Loop (SIL), simulation harnesses, or high-fidelity test environments for embedded or multi-process systems; Debug, visualization, or observability tooling (dashboards, report generators, timeline/control-flow views, or similar); Trace, instrumentation, capture/replay, or hook-based systems for reproducing field or lab scenarios offline; Extending test or simulation platforms to support new products, hardware variants, or regional configurations
Strong software fundamentals: clear interfaces, maintainability, failure handling, and testability—tooling is product software for internal users
Experience with unit / integration automation, CI pipelines, or HIL-style validation adjacent to SIL is a plus
Experience with Docker and QEMU (or similar container and machine emulation tooling) is a plus for packaging, isolation, and realistic SIL environments
Exposure to complex embedded Linux systems, home energy / battery / inverter products, multi-device site setups, or market-specific product variants is a plus

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

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