Responsibilities include:

• Own the technical roadmap for DAG’s robotic-software platform: defining architecture, interfaces, and milestones that allow rapid iteration of AI algorithms while guaranteeing deterministic, real-time performance.
• Lead & mentor a hybrid team. Inspire robotic system and software engineers; set clear goals, conduct code/design reviews, and nurture career growth.
• Build the core middleware. Extend and harden our ROS 2-based stack (simulation, hardware-in-the-loop, real-time control) so that new robots or sensors plug-in with minimal glue code.
• Integrate multimodal perception. Collaborate with the hardware team to streamline integration of high-bandwidth multimodal tactile data alongside vision and force feedback; provide ease of use interface and data schema for AI researchers.
• Productize research code. Introduce lightweight CI, automated testing, and performance monitoring that keep experiments reproducible without slowing innovation.
• Accelerate AI deployment. Partner with the AI Engineers to wrap RL agents, diffusion policies, or VLA-style controllers behind clean service layers, supporting on-device (Jetson/Orin) and remote compute.
• Champion cross-team collaboration. Translate mechanical and electrical constraints into software requirements; ensure that controls, perception, and learning modules co-evolve smoothly.
• Drive hiring, performance reviews, and career development to scale the team and maintain a high engineering bar.
• Stay updated with the latest advancements in robotics software and AI to continuously enhance the team’s capabilities.

Qualifications:

• Master’s degree in computer science, robotics, electrical engineering, mechanical engineering, or a related field.
• 8+ years developing robotics or embedded systems, with 3+ years leading engineers on software projects.
• Strong C++ 14/17 and Python skills; fluency with modern build + package tools (CMake, Bazel, colcon).
• Expertise with robotic middleware platforms, especially ROS/ROS2.
• Experience with real-time operating systems (RTOS) and embedded systems is a plus
• Familiarity with deploying AI/ML workloads on edge GPUs or distributed clusters; understand latency, bandwidth, and safety trade-offs.
• Experience with software development best practices, including version control systems like Git, testing, and continuous integration.
• Working knowledge of simulation tools (especially IsaacSim).
• Excellent problem-solving skills and ability to work collaboratively in an interdisciplinary team environment.
• Strong communication skills, both written and verbal.
• Proven ability to scope ambiguous research problems, prioritize for impact, and communicate technical vision to peers and leadership.
• Bonus: contributions to open-source robotics projects, publications in manipulation or robot-learning venues.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days

The expected wage range for a new hire into this position is $153,000 to $229,500.

• Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
• This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
• This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.