Skip to content
Applied IntuitionApplied IntuitionSan Diego, CA

Robotic Software Engineer, Perception

As a Perception Autonomy Engineer, you will develop, integrate, and maintain real-time sensor software solutions for autonomous vehicles. This involves designing and deploying AI/ML sensor algorithms, creating interfacing software for sensor control, and collaborating with cross-functional teams for seamless deployment and testing.

140k – 220k/yr
On-site5+ YOEML Engineering

About the role

About the role

As a Perception Autonomy engineer, you will be pivotal in developing, integrating, and maintaining real-time sensor software solutions deployed across a range of heterogenous autonomous vehicles and different domains (e.g., land, air, sea, and space). You will work with a team to continuously add capability and demonstrate the solution to customers in real-world scenarios on a variety of hardware platforms. Your responsibility will primarily be designing, developing, and rapidly integrating AI/ML sensor algorithms to interface across different platforms, ingest relevant mission information, and support the autonomy team’s mission objectives. This work includes developing autonomous sensor controllers to optimally fuse information between state-of-the-art sensor systems, such as EO, IR, acoustics, radar, and RF.

At Applied Intuition, you will:

  • 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

We're looking for someone who has:

  • 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)
  • Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion
  • 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

Travel Requirements:

  • 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%)

Security Requirements:

  • Must be a U.S. Citizen
  • Must hold or be eligible to obtain and maintain a U.S. security clearance

Nice to have:

  • 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

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

For pay transparency purposes, the base salary range for this full-time position in the location listed is: $140,000 to $220,000 USD annually.

Skills

PythonPyTorchTensorFlowOnnxC++LinuxDockerKalman FiltersSensor FusionCmakeBash

Similar roles

ML Engineering jobs
Ambient.ai

Applied Research Scientist - Foundation Models

Ambient.aiRedwood City, CA

Develops and optimizes transformer-based vision-language foundation models for physical security, owning full-cycle training, fine-tuning, compression, and deployment for real-time inference on images, videos, and text. Requires PhD/Master's in CS/EE, hands-on ML expertise with PyTorch/TensorFlow, Transformers, and ViTs.

140k – 175k/yr
HybridML Engineering
Docker

ML Engineer

DockerPalo Alto, CA +1

Founding ML Engineer building production ML systems for governance, security, and agentic platform capabilities at Docker. Requires 5+ years applied ML experience shipping systems and 4+ years backend/infra engineering.

139k – 226k/yr
Remote5+ YOEML Engineering
Databricks

Software Engineer - GenAI inference

DatabricksSan Francisco, CA

Designs, develops, and optimizes GenAI inference engine for LLMs, focusing on performance, scalability, and efficiency across the full stack. Requires 3+ years in performance-critical systems, CUDA/GPU expertise, and ML inference knowledge.

142k – 205k/yr
On-site3+ YOEML Engineering
Beacon AI

Software Engineer, Cloud Infrastructure

Beacon AISan Carlos, CA

Build and operate scalable AWS cloud infrastructure, LLM platforms, RAG systems, and data pipelines for an AI aviation platform. Requires strong AWS and LLM production experience; hybrid in San Carlos, CA.

135k – 260k/yr
Hybrid5+ YOEML Engineering
Assembled

Software Engineer - Forecasting & Scheduling

AssembledUnited States

Builds forecasting interfaces, data pipelines, and scheduling systems for thousands of support agents using ML models. Requires Python ML libraries experience and background in ML/algorithmic teams with focus on performance optimization.

135k – 280k/yr
RemoteML Engineering