Business Process Analyst at Nelnet focusing on process automation and technical solutions. Collaborating with stakeholders and delivering documentation for automation initiatives.
About the role
- Architect designing and implementing robotics software and AI/ML models at Aptiv. Collaborating across teams to enhance mobility solutions and safety systems with innovative technologies.
Responsibilities
- Design and implement robotics software stacks spanning perception, localization, planning, control, and system integration
- Lead system-level architecture decisions across software, middleware, hardware, and cloud/edge interfaces
- Optimize performance, latency, power, and memory utilization on CPU/GPU/NPU/DSP-based platforms
- Contribute hands-on code in C/C++ and Python for robotics and embedded workloads
- Integrate solutions using ROS 2, DDS middleware, real-time Linux, and RTOS environments
- Define clean interfaces and modular designs to enable scalability across robot classes (AMRs and Drones)
- Collaborate with hardware teams to influence sensor, compute, and system design trade-offs
- Deploy and optimize AI/ML models on embedded and edge platforms using frameworks such as TensorRT, ONNX, OpenVINO, TFLite or comparable runtimes
- Support model compression, quantization, and acceleration strategies for edge deployment
- Develop and optimize edge AI pipelines for real-time inference on embedded, edge and heterogeneous compute platforms
- Evaluate trade-offs between onboard intelligence and cloud-assisted workflows
- Integrate simulation and testing workflows using Gazebo, Isaac, or similar environments
- Define and execute validation strategies for autonomy performance, robustness, and safety
- Support transition from R&D prototypes to production-ready, industrialized solutions
Requirements
- Master’s degree (or PhD) in Robotics, Computer Science, Electrical Engineering, or a related field
- Strong hands-on experience developing robotics or autonomous systems software
- Proficiency in C/C++ for real-time and embedded applications
- Solid understanding of robotics fundamentals
- Experience training, deploying and optimizing AI workloads on embedded and edge AI platforms
- Familiarity with Linux-based and RTOS embedded systems and cross-compilation workflows
- Ability to work effectively across disciplines and communicate complex technical concepts clearly
- Preferred Qualifications
- Proficiency in additional languages like Python and Rust
- Experience with ROS 2, DDS middleware, and real-time systems
- Hands-on experience with heterogeneous embedded compute and SoC platforms (e.g., NVIDIA, Qualcomm, TI, Renesas, NXP or similar)
- Background in simulation-driven development, scenario-based testing, or digital twins
- Track record of delivering production-grade robotics or edge AI systems
Benefits
- Hybrid and flexible working hours
- Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development)
- Life and accident insurance
- Sodexo cards for food and beverages
- Well Being Program that includes regular workshops and networking events
- EAP Employee Assistance
- Access to fitness clubs (T&C apply)
- Creche facility for working parents
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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