Robotic Software Engineer, Perception
As a Perception Autonomy Engineer at Applied Intuition, you will play a crucial role in developing, integrating, and maintaining real-time sensor software solutions for a diverse range of autonomous vehicles operating across various domains, including land, air, sea, and space. You will collaborate with a dynamic team to enhance capabilities and demonstrate solutions to customers in real-world scenarios on multiple hardware platforms. Your primary responsibility will be to design, develop, and rapidly integrate AI/ML sensor algorithms that interface across different platforms, ingest relevant mission information, and support the autonomy team's objectives. This includes developing autonomous sensor controllers to optimally fuse information from state-of-the-art sensor systems such as electro-optical (EO), infrared (IR), acoustics, radar, and radio frequency (RF).
In this role, 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. You will create interfacing software to autonomously control sensors, collaborate across sensor, tracking, and autonomy teams to ensure seamless deployment of heterogeneous platform swarms in on-site Department of Defense (DoD) testing and demonstration events, and deploy containerized solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling to efficiently collect performance data. Additionally, you will interact with DoD customers to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience. You will work closely with the existing team to internally triage technical problems and scope, carefully communicate and document ongoing work to ensure internal flexibility in a fast-paced environment, and drive execution of simulation tooling to playback sensors, platforms, and autonomy in post-processing field test analysis. Implementing improvement plans for future integration efforts based on simulation analysis and customer feedback will also be part of your responsibilities.
The ideal candidate will possess an MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or a related field, or have 5+ years of relevant experience working with sensor algorithms, hardware, and hardware-in-the-loop (HIL) software integration. Experience with multiple sensor modalities (e.g., EO, IR, lidar, radar, sonar, acoustics) and a core understanding of sensor physics and control parameters are essential. Proficiency in training and deploying machine learning algorithms using Python, PyTorch, or TensorFlow onto integrated systems (e.g., ONNX, C++ models), familiarity with tracking basics such as Kalman filters and optimal sensor fusion, and experience working comfortably in Linux and Docker environments are required. Prior experience with remote software development, the ability to handle and process large datasets, and the capacity to learn new software and algorithms with minimal supervision are also important. Candidates must be willing to travel as project requirements dictate, typically every 1-2 months for 2-5 days (10-20% travel). U.S. citizenship and the ability to obtain and maintain a U.S. security clearance are mandatory.
Applied Intuition offers a competitive compensation package, including a base salary ranging from $140,000 to $220,000 annually, equity options, and comprehensive benefits. Benefits include health, dental, vision, life, and disability insurance coverage, 401(k) retirement benefits with employer match, learning and wellness stipends, and paid time off. Please note that benefits are subject to change and may vary based on the jurisdiction of employment. The actual base salary offered to a successful candidate will be influenced by factors such as experience, credentials, educational attainment, skill level requirements, interview performance, and the level and scope of the position.