Job Description
About the Role
In this role, you will architect physical AI and multi-fleet management systems at the intersection of robotics, AI, and real-world hardware, in collaboration with a globally recognized industry leader. You will shape technical strategy for outdoor vehicle systems, guide cross-functional teams from concept through production, and own how new capabilities and retrofitted equipment come together into intelligent, real-world solutions.
Responsibilities
- Define and own end-to-end architecture for robotics and industrial systems, working closely with digital twins of real-world hardware and control systems.
- Lead process modeling and optimization strategy for continuous, discrete, and event-driven systems, improving reliability, safety, and performance.
- Collaborate with clients and cross-functional teams to translate business requirements into architecture blueprints, prototypes, and production-ready roadmaps.
- Guide the retrofit of existing equipment with intelligent, AI-driven components, ensuring clean integration with existing systems and interfaces.
- Establish testing and validation strategy for robotics and industrial solutions across simulation and real-world environments.
- Define architectural standards for automated robotic systems that enhance production efficiency, precision, and safety within target industries.
- Lead engineering teams through design reviews, mentoring, and adoption of architectural best practices across the delivery lifecycle.
- Research emerging trends in robotics, including control, motion planning, sensing, and decision-making, and translate findings into reusable accelerators.
Requirements
- 8+ years of software development experience in C++, Python, or Julia, including 3+ years in lead or architect roles.
- Proven experience modeling continuous, discrete, and event-driven systems for industrial and robotics applications.
- Strong command of simulation frameworks such as MATLAB/Simulink, Mathematica, Modelica, Ansys, or OpenFOAM.
- Hands-on experience with physics-based simulation tools, including Gazebo, NVIDIA Isaac, or V-REP.
- Solid understanding of control theory, estimation, and optimization techniques for linear and nonlinear systems.
- Proven ability to define system-level architectures and complex, efficient algorithms for robotics systems.
- Experience with distributed control systems, real-time systems, and Unix/Linux environments.
- Strong communication and stakeholder management skills, with experience leading design reviews and mentoring engineering teams
This posting includes an anticipated salary range that SoftServe expects to offer for this position. The range provided reflects the base salary only. Final compensation within this range will be determined based on a number of factors, including, but not limited to: geographic location, relevant experience, education, certifications, skills, budget, and market conditions.
The anticipated salary range for this role is $200,000.00 - $220,000.00 annually, in line with our internal compensation framework and budget allocation for the role. Most candidates are offered a salary within this disclosed range. If the role is eligible for a variable pay plan, this would be considered separately and may provide additional earnings beyond the base salary range reflected here.
Please note, the information provided in this posting is a general summary and may not include all compensation elements or benefits associated with the position.