Developer Relations Manager, Federal Government

Santa Clara, CA (Unknown)

$272K/yr – $431K/yrSenior Level15+ years expFull time

Posted 3 months ago

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Job Summary

Lead technical engagement to advance defense autonomy stacks for Group 1–5 UAS deployments.

  • Own technical onboarding and integration of the NVIDIA stack (Jetson, Holoscan, Isaac ROS, TensorRT, DeepStream) into flight autonomy pipelines.
  • Must-have: Deep GPU-accelerated autonomy experience (CUDA, TensorRT, Isaac ROS/ROS 2).
  • Standout: Experience guiding partner roadmaps and delivering production autonomy on DoD timelines.

Job Description

Responsibilities

  • Build and maintain deep technical expertise in autonomous drone mission workloads.
  • These include visual-inertial odometry and SLAM in GPS-denied environments.
  • Also cover multi-modal sensor fusion using EO/IR, SAR, LiDAR, and RF.
  • Include onboard target detection and tracking, swarm and teaming behaviors, and mission-level planning under degraded communications.
  • Embed with federal autonomy ISVs, drone OEMs, and prime contractors to architect, prototype, and integrate the NVIDIA software stack—Jetson, Holoscan, Isaac ROS, TensorRT, DeepStream, and cuOpt—into flight‑ready autonomy pipelines optimized for SWaP‑constrained airframes.
  • Lead partner engineering teams through onboarding and integration.
  • Deliver reference architectures, optimized perception and planning pipelines, sample code, and production-grade autonomy workflows.
  • These workflows must be deployable on Group 1–5 platforms.
  • Observe the autonomy ecosystem to spot new opportunities in collaborative combat aircraft, loitering munitions, counter‑UAS, ISR, and human‑machine teaming.
  • Provide insights to NVIDIA engineering and product teams to guide roadmaps for Jetson Thor, Isaac, and Holoscan.

Requirements

  • Bachelor's or Master's (or equivalent experience) in Computer Science, Robotics, Aerospace/Controls, Electrical Engineering, or a related field.
  • 15+ years in the technology industry overall, with 7+ years hands-on in robotics, autonomy, flight software, perception, or edge AI — ideally including time at a defense autonomy company, drone OEM, or an autonomy-heavy program office.
  • Proven technical depth in GPU-accelerated autonomy software: CUDA, TensorRT, Isaac ROS / ROS 2, Holoscan, DeepStream, and on-device model optimization for Jetson-class hardware.
  • Proven experience in architecting real-time perception, sensor fusion, and planning stacks for SWaP-constrained airborne platforms. It includes onboard inference, multi-sensor time synchronization, and mission autonomy when communications are degraded or denied.
  • History of leading developer programs, reference integrations, or ecosystem partnerships with defense ISVs, primes, or venture-backed autonomy companies.
  • Strong ability to translate between engineering depth and senior-executive strategy across program offices, primes, and mission owners.

Preferred

  • Direct experience shipping autonomy software on a Group 2–5 UAS, a loitering munition, a counter-UAS system, or a coordinated strike aircraft.
  • Background in multi-agent / swarm autonomy, behavior trees, or mission-level AI planners.
  • Experience with synthetic data pipelines, sim-to-real, or digital twin workflows for training and validating perception and policy models.
  • Familiarity with DoD software acquisition pathways, cATO/RMF, and the realities of deploying AI on classified networks and tactical edge hardware.
  • Active clearance (Secret or above) or eligibility to acquire one.

Benefits

  • With competitive salaries and a generous benefits package, we are known as one of the world’s most desirable employers.
  • NVIDIA has some of the most forward-thinking and hardworking people working together to advance accelerated computing and AI.
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NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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