Skip to content
Applied IntuitionApplied IntuitionPoway, CA

Perception & Fusion Engineer

Develop and integrate real-time sensor perception and fusion algorithms for autonomous vehicles across land, air, sea, and space domains. Requires MS/PhD or 5+ years experience with multi-modal sensors (EO/IR/radar), ML deployment, and Linux/Docker; US citizenship and security clearance eligibility mandatory.

150k – 220k/yr
On-site5+ YOEML Engineering

About the role

Responsibilities

  • Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to collect relevant information across a suite of platform sensors.
  • Create interfacing software to autonomously control sensors (e.g., EO, IR, acoustics, radar, and RF).
  • Collaborate across the sensor, tracking, and autonomy teams to ensure seamless deployment of heterogeneous platform swarms in on-site DoD testing and demonstration events.
  • Deploy containerized solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data.
  • Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience.
  • Work closely with our existing team to internally triage technical problems and scope.
  • Carefully communicate and document ongoing work to ensure internal flexibility in a fast paced environment as well as clarify progress with external customers.
  • Drive execution of simulation tooling to playback sensors, platforms, and autonomy in post processing field test analysis.
  • Implement improvement plans for future integration efforts based on simulation analysis and customer feedback.

Requirements

  • MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent OR 5+ years of relevant experience working with sensor algorithms, hardware, and HIL software integration.
  • Experience with multiple sensor modalities (e.g., EO, IR, lidar, radar, sonar, acoustics, etc.).
  • Core understanding of sensor physics and sensor control parameters.
  • Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models).
  • Experience with state of the art estimation, tracking, and fusion algorithms.
  • Experience working comfortably in Linux and Docker.
  • Prior experience with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision.
  • Must be a U.S. Citizen.
  • Must hold or be eligible to obtain and maintain a U.S. security clearance.
  • Must be willing to travel as projects requires, usually for SW/HW integration and/or demonstrations; estimated average travel is every 1-2 months for 2-5 days (10-20%).

Nice-to-Haves

  • Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash.
  • PhD in computer science or electrical engineering with AI/ML focus.
  • Experience with robotic swarm or multi-agent systems and optimization.
  • Strong tracking and sensor fusion background.
  • Current U.S. SECRET security clearance.

Skills

Sensor FusionPerceptionAI/MLPyTorchTensorFlowOnnxC++LinuxDockerEstimation AlgorithmsTracking AlgorithmsSensor PhysicsEmbedded SystemsComputer Vision

Similar roles

ML Engineering jobs
Applied Intuition

Perception & Fusion Engineer

Applied IntuitionArlington, VA

Develop and integrate real-time sensor perception and fusion algorithms for autonomous vehicles across land, air, sea, and space domains. Requires MS/PhD or 5+ years experience with multi-modal sensors (EO/IR/radar), ML deployment, and DoD clearance eligibility.

150k – 220k/yr
On-site5+ YOEML Engineering
Deepgram

Applied ML Engineer

DeepgramCalifornia

Own the research-to-production pipeline at Deepgram, turning experimental speech ML models into reliable, scalable production services. Partner with researchers on robust workflows, automated release gates, inference optimization, and feedback loops across hybrid GPU infrastructure.

150k – 220k/yr
Remote5+ YOEML Engineering
Deepgram

Backend Engineer

DeepgramCalifornia

Backend Engineer building and optimizing Deepgram's core inference services for speech processing, including networking, audio transcoding, latency/memory optimization, and distributed compute orchestration. Requires 3+ years experience with Rust (or C/C++) and Python.

150k – 220k/yr
Remote3+ YOEML Engineering
Distyl AI

Research Engineer, Post-Training

Distyl AISan Francisco, CA +1

Research Engineers at Distyl build and productionize post-training techniques (fine-tuning, RLHF, reward models, evals) to improve reliability and behavior of compound AI systems for enterprise customers. Requires strong applied ML experimentation skills and ownership of real-world outcomes.

150k – 250k/yr
HybridML Engineering
Distyl AI

Research Engineer, Agents

Distyl AISan Francisco, CA +1

Research Engineers at Distyl build and productionize reliable agentic AI systems and compound architectures for enterprise workflows. They design agents, develop evaluation frameworks, run experiments on reasoning and failure modes, and integrate into customer environments.

150k – 250k/yr
HybridML Engineering