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We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow.
Job Responsibility:
Control Systems Development: Design and implement Model Predictive Control (MPC) based controllers and advanced control algorithms using C++
Autonomous Logic: Architect and maintain system behaviors using state machines and behavior trees to ensure reliable and predictable performance
ML Infrastructure Integration: Lead the integration of Machine Learning models into core software infrastructure, optimizing for real-time performance and scalability
Task Planning: Develop and refine task-planning modules to manage high-level mission objectives and resource allocation
Simulation & Optimization: Utilize simulation tools to validate control logic and perform Just-In-Time (JIT) infrastructure optimizations to reduce latency and improve system efficiency
Cross-Functional Collaboration: Partner with mechanical and hardware teams to ensure seamless software integration with physical systems
Requirements:
Advanced proficiency in C++ for performance-critical systems
Direct experience implementing MPC-based controllers and general control theory principles
Expertise in state machines, behavior trees, and high-level task planning
Proven experience with ML model integration, infrastructure design, and optimization techniques
Proficiency with industry-standard simulation tools and JIT optimization workflows
B.S. or M.S. in Computer Science, Robotics, Electrical Engineering, or a related technical field
Strong background in General SDE practices with a focus on robotics, aerospace, or autonomous vehicles
A detail-oriented problem solver with a passion for optimizing complex, multi-threaded systems for reliability and speed