Job description

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

Requirements

Must-haves

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
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

Nice-to-haves

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

Application prep

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Keywords to mirror

aigomlpythondockerkubernetes

Platform: greenhouse
Effort: quick