Software Architect

• Architect software platforms running on embedded microprocessors, microcontrollers, and heterogeneous computing platforms.
• Support defining resource budgets for CPU utilization, memory, storage, power consumption, bandwidth, and latency.
• Collaborate with hardware teams to influence processor selection, sensor integration, networking, and platform trade-offs.
• Support development on Linux and RTOS-based environments.
• Guide implementation of real-time, deterministic, and safety-relevant software capabilities.

• Collaborate with systems engineering teams to define customer requirements, use cases, and interface specifications.
• Work closely with Product Development and Product Strategy teams to define platform roadmaps and feature sets.
• Work with customers, suppliers, and stakeholders to define requirements, expected system behavior, and platform roadmaps.
• Support new program pursuits, change requests, estimations, and customer quotations.
• Establish performance, reliability, maintainability, and scalability metrics.
• Drive implementation of automated testing, continuous integration, and software quality processes.
• Support compliance with applicable industry standards and development processes.
• Develop, analyze, and realize reusable software products and platform capabilities.
• Support definition of functional requirements and ownership of key non-functional requirements.
• Align interfaces across internal and external software components and partner integrations.
• Drive built-in quality through architecture reviews, CI/CD, testing, and quality processes.
• Support software DFMEA, safety, cybersecurity, and compliance activities in collaboration with cross-functional teams.

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Robotics, or a related discipline.
• 8+ years of experience in embedded software development.
• 3+ years in a software architecture, technical lead, or principal engineer role.
• Proven experience defining software architectures for complex embedded systems.
• Experience modeling tools such as Enterprise Architect.
• Strong understanding of software engineering principles and embedded hardware/software architectures.
• Experience with embedded processors and platforms from NVIDIA, Qualcomm, NXP, Renesas, AMD, Intel, TI, or similar vendors.
• Experience with Linux-based embedded operating systems and/or RTOS environments.
• Strong proficiency in C/C++.
• Experience driving architecture decisions across multidisciplinary organizations.
• Experience with the V-model development flow.
• Strong communication and stakeholder management skills.

• 12+ years of experience in embedded software and system architecture.
• Knowledge of AI/ML, Edge Computing, IoT, or Robotics platforms.
• Experience with robotics, autonomous systems, drones, AMRs/AGVs, industrial automation, or intelligent machines.
• Experience with ROS 2, DDS, robotics middleware, or distributed embedded software architectures.
• Experience integrating camera, radar, lidar, GPS, IMU, ultrasonic, and other sensor technologies.
• Experience with Docker, CI/CD pipelines, DevOps practices, and automated software deployment.
• Familiarity with communication protocols including CAN, Ethernet, TSN, DDS, and similar.
• Experience with low-level software development including SPI, I2C, UART, Ethernet, PCIe, and device drivers.
• Familiarity with simulation and virtual validation environments such as Gazebo, Isaac Sim, AirSim, CARLA, or equivalent platforms.
• Knowledge of functional safety standards and safety-critical development processes, including ISO 26262, IEC 61508 or related standards.
• Familiarity with Automotive SPICE, AUTOSAR, or equivalent structured software development methodologies.

• Strong systems-thinking mindset with the ability to optimize across hardware and software boundaries.
• Passion for robotics, drones, autonomous systems, and embedded technologies.
• Ability to balance long-term architectural vision with pragmatic product delivery.
• Ownership mentality with a strong bias toward execution.
• Collaborative leadership style with a passion for mentorship and technical excellence.
• Strong problem-solving skills and ability to navigate ambiguity.
• Excellent communication and stakeholder engagement skills.
• Desire to build scalable software platforms that power the next generation of autonomous and intelligent machines.

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All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.