Join Applied Intuition as a Robotic Software Engineer to develop AI/ML sensor algorithms for autonomous vehicles.
Posted by employer 3 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 18 hours ago
Role intensity
70% hands-on coding
AI in the day-to-day
Developing and integrating AI/ML algorithms for sensor software solutions.
Requirements
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Robotic Software Engineer focused on perception, the individual will develop and integrate real-time sensor software for various autonomous vehicles across multiple domains. Key skills include expertise in AI/ML algorithms, sensor modalities, and experience with Linux and Docker environments. This position is ideal for candidates with advanced degrees or significant experience in robotics or computer engineering, particularly those familiar with sensor fusion and tracking techniques. The team operates in a fast-paced environment, collaborating closely with defense clients to ensure effective deployment and demonstration of their solutions.
Joblaze insights
Quick facts
From the original posting
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.
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
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
For more information about U.S. security clearances: click here.
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.
Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $175,000 to $250,000 USD annually.
Standard company text repeated across Applied Intuition's postings is omitted here.