Backend Engineer

About Navier AI

Navier AI is building the first autonomous engineering agents. AI systems that can design, simulate, and optimize complex products to achieve breakthrough levels of performance. Our mission is to enable engineers to move beyond today's slow, manual design cycles by providing agents that reason about physics, explore design trade-offs, and generate high-performance solutions across aerospace, automotive, and advanced manufacturing.

We're backed by top-tier investors and work directly with industry leaders to deploy AI-native tools that go far beyond today's design automation.

Role Overview

We're hiring a Backend Engineer to help build the infrastructure behind our autonomous engineering agents. You'll work across model serving, simulation orchestration, multi-agent coordination, and developer-facing APIs. This role is critical to delivering fast, reliable, and scalable systems that engineers can trust in production design environments.

Responsibilities

Own core backend systems for serving AI agents and managing their compute, data, and model coordination

Design and implement APIs that expose agent functionality-simulation control, CAD operations, optimization workflows-to internal tools and customer integrations

Build secure, scalable infrastructure for multi-agent orchestration, including support for containerized workloads, caching, and distributed compute

Collaborate closely with ML, frontend, and simulation engineers to create a cohesive, performant product experience

Integrate external tools such as CAD software, simulation backends (e.g., OpenFOAM), and data stores into our pipeline

Support agent development workflows, including tooling for versioning, introspection, and reproducibility

Contribute to infrastructure decisions that will shape the technical foundation of our platform as it scales

Engage directly with early customers to support integration, identify infrastructure needs, and gather feedback Qualifications

Required:

Strong backend engineering skills in Python or similar languages

Experience designing and maintaining production APIs

Familiarity with containerized development and deployment (e.g., Docker, Kubernetes)

Comfort building infrastructure that supports AI/ML systems or computational workflows

Strong systems thinking and ability to reason across compute, data, and model interactions

Experience in fast-paced environments where end-to-end ownership is expected

Excellent communication and collaboration skills Preferred:

Expertise in FastAPI

Experience integrating with scientific software (e.g., CAD, FEA, CFD tools)

Exposure to agent frameworks, workflow orchestration, or distributed systems

Familiarity with model serving (e.g., TorchServe, Triton) or simulation backends

Interest in physics, geometry, or real-world engineering applications

Prior experience building developer tools or working in high-trust customer-facing roles Why This Role Matters

We're not just building software-we're building the future of engineering itself. As a backend engineer at Navier, you'll architect the systems that allow our AI agents to reason, simulate, and design like expert engineers. Your work will directly impact how rockets, cars, aircraft, and next-gen hardware are conceived and built.

What We Offer

Competitive compensation, including salary and equity

Direct exposure to high-impact technical problems in aerospace, automotive, and advanced manufacturing

Opportunity to help define a new category of engineering software