Energy Jobline ZR
Senior Software Engineer, Autonomy - Behavior, Planning & Controls in Mountain V
Energy Jobline ZR, Mountain View, California, us, 94039
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job Description
About Cyngn
Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn
We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly‑traded equity. We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact. We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation. About this role
As a Senior Software Engineer, you will play a pivotal role in developing next‑autonomous systems, driving innovation in AI‑driven path planning and control for our autonomous vehicles. This position offers a unique opportunity to bridge theory and practice, tackling real‑world challenges in the fast‑evolving field of autonomy. You will be part of a highly focused team, designing and deploying production‑grade software that enables our autonomous vehicles to navigate and operate seamlessly in complex indoor and outdoor environments. Responsibilities
Design, implement, and optimize motion planning and control algorithms for autonomous vehicles. Develop and enhance software infrastructure for vehicle simulation, performance validation, and system diagnostics. Architect and refine path‑planning and tracking control algorithms to improve autonomy performance. Collaborate with cross‑functional teams to deploy and validate solutions in both simulated and real‑world environments. Balance hands‑on development, code reviews, and research to achieve product‑driven milestones in a fast‑paced startup environment. Integrate cutting‑edge robotics research into our autonomous driving stack to enhance system capabilities. Qualifications
MS/PhD in Computer Science, Robotics, or a related technical field, or equivalent practical experience. Strong proficiency in
C++
and
Python
with a deep understanding of software development best practices. Solid foundation in robotics principles, particularly
motion planning and control systems . Strong background in
vehicle dynamics
and experience applying these principles to autonomous systems. Knowledge of
nonlinear optimization
and
search‑based planning techniques . Familiarity with
ROS2
for designing, building, and operating robotic systems. Strong mathematical foundation, including
geometry, linear algebra, and probability . Excellent problem‑solving abilities with a proactive approach in a fast‑paced, collaborative environment. Strong communication and cross‑team collaboration skills. Bonus Qualifications
Experience implementing controllers and planners for
real‑time safety‑critical mobile autonomous systems . Experience with
simulation environments
and developing
kinematic/dynamic models
for autonomous vehicles. Exposure to
machine learning, deep learning, and physics‑based foundation models . Benefits & Perks
Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge) Life, Short‑term and long‑term insurance (Cyngn funds 100% of premiums) Company 401(k) Commuter Benefits Flexible vacation policy Sabbatical leave opportunity after 5 years with the company Paid Parental Leave Daily lunches for in‑office employees and fully‑stocked kitchen with snacks and beverages We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr
About Cyngn
Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn
We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly‑traded equity. We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact. We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation. About this role
As a Senior Software Engineer, you will play a pivotal role in developing next‑autonomous systems, driving innovation in AI‑driven path planning and control for our autonomous vehicles. This position offers a unique opportunity to bridge theory and practice, tackling real‑world challenges in the fast‑evolving field of autonomy. You will be part of a highly focused team, designing and deploying production‑grade software that enables our autonomous vehicles to navigate and operate seamlessly in complex indoor and outdoor environments. Responsibilities
Design, implement, and optimize motion planning and control algorithms for autonomous vehicles. Develop and enhance software infrastructure for vehicle simulation, performance validation, and system diagnostics. Architect and refine path‑planning and tracking control algorithms to improve autonomy performance. Collaborate with cross‑functional teams to deploy and validate solutions in both simulated and real‑world environments. Balance hands‑on development, code reviews, and research to achieve product‑driven milestones in a fast‑paced startup environment. Integrate cutting‑edge robotics research into our autonomous driving stack to enhance system capabilities. Qualifications
MS/PhD in Computer Science, Robotics, or a related technical field, or equivalent practical experience. Strong proficiency in
C++
and
Python
with a deep understanding of software development best practices. Solid foundation in robotics principles, particularly
motion planning and control systems . Strong background in
vehicle dynamics
and experience applying these principles to autonomous systems. Knowledge of
nonlinear optimization
and
search‑based planning techniques . Familiarity with
ROS2
for designing, building, and operating robotic systems. Strong mathematical foundation, including
geometry, linear algebra, and probability . Excellent problem‑solving abilities with a proactive approach in a fast‑paced, collaborative environment. Strong communication and cross‑team collaboration skills. Bonus Qualifications
Experience implementing controllers and planners for
real‑time safety‑critical mobile autonomous systems . Experience with
simulation environments
and developing
kinematic/dynamic models
for autonomous vehicles. Exposure to
machine learning, deep learning, and physics‑based foundation models . Benefits & Perks
Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge) Life, Short‑term and long‑term insurance (Cyngn funds 100% of premiums) Company 401(k) Commuter Benefits Flexible vacation policy Sabbatical leave opportunity after 5 years with the company Paid Parental Leave Daily lunches for in‑office employees and fully‑stocked kitchen with snacks and beverages We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr