Full-Time

Senior Electric Powertrain Engineer

Navier AI

Navier AI

1-10 employees

Automates hardware design with AI agents

No salary listed

Alameda, CA, USA

In Person

Bachelor's

Category
Engineering Management (1)
Required Skills
Printed Circuit Board (PCB) Design
CAD
C/C++

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Requirements
  • Bachelor’s degree in electrical engineering (or equivalent) and at least 4 years of experience in electric powertrain design
  • Extensive knowledge of Li-ion batteries, BMSs, PDUs, charging standards, inverters and electric motors
  • Knowledge of applicable standards for testing and certification of high-voltage electric powertrain components
  • Strong skills in C/C++ and embedded software development
  • Experience designing schematics, PCB, and CAD
  • Experience working with different communication protocols (CAN, Ethernet, RS232, J1939)
  • Team leadership experience, but also the desire to be a strong individual contributor
  • Strong work ethic and the ability to work in a fast pace environment
Responsibilities
  • Architect and deliver a safe and reliable electric powertrain, including all components from batteries to motors, for Navier's production electric hydrofoil boats
  • Work with vendors and contractors to design and build custom powertrain components
  • Lead Navier's EE team and grow it into the premier electric boat engineering team
Desired Qualifications
  • Experience with the maritime environment (e.g., IP ratings, ABYC standard, corrosion issues, galvanic isolation)
  • Experienced and passionate boater

Navier AI builds an Agent-Driven Engineering (ADE) platform that automates hardware design and development workflows by using AI agents to bridge CAD and simulation tools. AI agents translate design intent into simulation-ready setups, run parallel tests, and provide automated reports, using computer vision and spatial reasoning to interpret 3D geometry. Unlike firms that replace existing software, Navier AI connects and coordinates existing CAD and engineering tools to speed iterations, targeting aerospace, automotive, and defense with usage-based pricing. Its goal is to shorten development cycles and catch design-validation misalignments early, enabling smaller teams to scale engineering throughput.

Company Size

1-10

Company Stage

Seed

Total Funding

$5.7M

Headquarters

San Francisco, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Rescale and Navier launched an early-access program in 2024, signaling real buyer interest.
  • Navier’s February 2026 blog said Ferro beta launches March 1, widening product scope.
  • Usage-based CFD removes seat licenses, matching procurement preferences at smaller engineering teams.

What critics are saying

  • Synera raised $40 million in April 2026, funding a direct engineering-automation rival.
  • NP Company raised €6 million in June 2026, expanding AI simulation across aerospace and automotive.
  • Credit-based pricing at $10 per run invites margin compression and customer churn.

What makes Navier AI unique

  • Former SpaceX, Tesla, and Aurora operators anchor product credibility and recruiting.
  • Rescale integration ties Navier directly into enterprise HPC and CFD workflows.
  • Navier CFD launched April 2026 with same-day meshing, simulation, and reports.

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Company Equity

Company News

Tech in Asia
Dec 16th, 2025
Y Combinator joins $5.6m round in US AI hardware startup Navier

Y Combinator joins $5.6m round in US AI hardware startup Navier. Navier, a San Francisco-based startup developing AI-powered tools for hardware engineering teams, has raised US$5.6 million in seed funding and launched from stealth. The round included GV (Google Ventures), HCVC, and Y Combinator. Navier said the funding will help expand its platform, with a focus on aerospace and automotive sectors. Navier's platform uses AI agents to automate repetitive engineering workflows, aiming to increase productivity in hardware design and development. The company's approach builds on past shifts in engineering tools, such as CAD and simulation software. The company's team includes experts from SpaceX, Tesla, and Aurora. Food for thought. Proven tech adoption drives early customer traction. * Navier uses Neptune (Neptune.ai, an experiment-tracking platform for machine learning) while refining physics foundation models (large AI models trained on simulation and real-world physics data) with tens of millions of parameters 1. * They partner with Rescale (a cloud service that orchestrates High-Performance Computing (HPC) across clouds) to run AI models, with a joint early access program for engineering customers to try AI-accelerated Computational Fluid Dynamics (CFD) 2. * Automotive holds over 28% of global Product Lifecycle Management (PLM) deployments 3, while aerospace is a core market for CFD and simulation 2. * A Neptune case study sets a goal of simulation-quality predictions in seconds rather than days 1, matching the 1,000x faster claim 2, and hardware engineering teams deploy models to production 1. Third-party integrators can bridge CAD and PLM platforms for AI agents. * The Computer-Aided Design (CAD) and Product Lifecycle Management (PLM) market reached $31.1 billion in 2024 with the top 10 holding 84.8% share 4. This favors software adapters that link AI agents to design data systems targeting Dassault Systèmes, Autodesk, and Siemens. * Over 72% of large manufacturers use PLM software 3, while 36% face legacy integration hurdles 3, so connectors that link AI agents to CAD and PLM workflows deliver quick wins. * Cloud-based PLM rose 36%, and 38% of implementations run in the cloud 3. Application Programming Interface (API)-first integration suits specialist plugin builders without custom on-premise work. * 3D CAD makes up 61% of installations 5, and the CAD market could reach $24.69 billion by 2034 5. Back platforms that plug AI physics models into dominant design tools. How would you feel if you could no longer use Tech in Asia?

FinancialContent
Dec 15th, 2025
Navier raises $5.6M to automate hardware engineering with AI agents

Navier, a startup building autonomous engineering teams for hardware design, has raised $5.6 million in seed funding from GV, HCVC and Y Combinator whilst emerging from stealth. The company has developed Agent-Driven Engineering, which uses AI agents to automate repetitive workflows between design and engineering disciplines. Built by former SpaceX, Tesla and Aurora experts, the platform leverages computer vision and spatial reasoning to interpret 3D geometry and align design concepts with engineering validation needs. Navier consolidates software licences, compute management and tools into a single platform, enabling teams to triple their output and compress development cycles from months to weeks. The funding will support platform development and expansion across aerospace and automotive sectors, where the technology represents the next productivity shift after CAD and simulation software.