Forward Deployed Engineer at NVIDIA

About Forward Deployed Engineering at NVIDIA

Do you want to help the world build custom AI at scale? We’re hiring a founding Director to build and lead NVIDIA’s Forward Deployed Engineering organization for open models, including NVIDIA Nemotron and NVIDIA Cosmos, across North America. The mission is to turn open models into production\-ready AI tuned to a specific domain, delivered through our partner ecosystem. We want any organization to build, own, and run its own AI on open source models, and this organization helps the ecosystem get there! Unlike most forward deployed organizations, ours works primarily through NVIDIA’s partner ecosystem. Our FDEs work side by side with top partner engineering and research teams, co\-lead joint customer engagements, and build the recipes and playbooks that help partners succeed and scale. This leader sets the strategy for North America, builds the organization, and carries the vision to partners, customers, and NVIDIA leadership. Are you an exceptional technical leader with deep roots in open model post\-training and agent harness engineering, ready to build a world\-class FDE organization? We’d

Companies like NVIDIA typically structure FDE teams around a build-team model, where engineers join an existing customer engineering function and deploy the product across a portfolio of accounts. Based on FDE Pulse data across 1046 active postings, 1% of FDE roles are build-team positions and 0% are "first hire" situations where the engineer defines the function. NVIDIA's 4 active postings fall into the build team category based on role count.

FDE roles across the market are 1% North America-focused based on 1046 active postings. 0% of FDE roles are classified as growth hires, meaning the company is expanding its customer base rather than backfilling an existing position. This context matters for FDE candidates evaluating NVIDIA: growth hire roles often come with more pressure to ramp quickly but also clearer performance metrics tied to customer success.

What FDEs Do at NVIDIA

Forward Deployed Engineers at NVIDIA own the technical success of customer deployments. This means designing integration architectures specific to each customer's infrastructure, writing and maintaining production code that runs in customer environments, and serving as the primary technical point of contact for enterprise accounts. The role sits at the intersection of product engineering and customer success without being either.

Day-to-day work for an FDE at NVIDIA varies by customer complexity and deployment stage. In the early phases of a new customer engagement, FDEs focus on environment setup, data mapping, and building the first integrations. As deployments mature, the work shifts toward performance tuning, expanding use cases, and training customer teams on new capabilities. Some FDE roles also feed product insights back to internal engineering, effectively acting as a bridge between customer needs and the roadmap.

Career Path for FDEs at NVIDIA

FDE careers typically progress along one of three paths: deepening technical specialization within the FDE function (moving from mid-level to senior to staff FDE), transitioning into engineering management (leading FDE teams or broader customer engineering organizations), or lateral moves into product management (where customer-facing FDE experience is highly valued). All three paths are available at companies with established FDE programs.

The FDE market median of $180,000 base salary across 134 active postings reflects a market that prices the role at a premium over equivalent-seniority software engineers at the same companies. Total compensation including equity, particularly at venture-backed companies, can be 20 to 50 percent higher than base salary. FDEs considering opportunities at NVIDIA should evaluate total compensation, rather than only base salary, when comparing offers.

Interview processes for FDE roles at most companies include a technical coding round, a system design round specific to customer deployment scenarios, and a customer scenario exercise where candidates are asked to scope a deployment, communicate trade-offs, and handle technical objections. Strong candidates combine engineering depth with the ability to explain complex systems to non-technical stakeholders clearly and without jargon.

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