Apera
Overview
Our client are ruthlessly focused on business impact as they develop automation and robotics solutions to truly enhance the industry they work in. The role is to join a hugely talented team who are developing mission-critical systems for unmanned platforms. You will be leading the development and deployment of advanced control systems for robotic platforms. This is a crucial role to really unlock the potential of what they are building with end-to-end ownership, from control theory and simulation to deployment on embedded systems. The team are composed of former pioneers from a variety of different robotics industries and have a clear mission to create technologies that support and augment human networks. You really will have the opportunity to make an impact from day 1 in a collaborative team environment alongside the very best in the industry. The ideal candidate will have deep experience tuning ground/flight control systems, writing embedded control algorithms in C++, and shipping real-world control software for robotic vehicles. This is not a modeling-only role, you’ll be responsible for taking algorithms from concept to real-world implementation, operating in close coordination with hardware, autonomy, and systems teams. Responsibilities
The role entails leading the development and deployment of advanced control systems for robotic platforms, with end-to-end ownership from concept to deployment on embedded systems. Work includes tuning ground/flight control systems, implementing control algorithms in C++ on embedded hardware, and collaborating with hardware, autonomy, and systems teams to ship real-world control software for robotic vehicles. Qualifications
bachelor’s or master’s degree in Aerospace Engineering, Robotics, Electrical Engineering, or a related field. 8+ years of experience in GNC or control systems engineering for autonomous vehicles. Strong background in classical and modern control theory, estimation, and systems dynamics. Demonstrated experience implementing control algorithms in C++ on embedded systems. Proficiency with control system development tools (e.g., MATLAB/Simulink, Python, Eigen, or similar). Deep familiarity with real-world flight control tuning, testing, and diagnostics. Ability to operate independently, own complex systems, and deliver in fast-paced environments. Any experience with aerospace or robotic systems operating in field or mission-critical contexts, familiarity with embedded software development practices, real-time constraints, and flight-critical software and knowledge of navigation, sensor fusion, and attitude estimation would be highly preferred. Employment details
Location: Redwood City, CA; Salary range: $95,000.00-$155,000.00 Other recent postings include locations in Santa Clara, CA; Richmond, CA; South San Francisco, CA; Vallejo, CA; Tracy, CA; Sunnyvale, CA; San Leandro, CA; San Jose, CA; Newark, CA; Fremont, CA; Oakland, CA; Mountain View, CA; Alameda, CA; and additional roles in related fields. These postings are for context and are not part of the current role description.
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Our client are ruthlessly focused on business impact as they develop automation and robotics solutions to truly enhance the industry they work in. The role is to join a hugely talented team who are developing mission-critical systems for unmanned platforms. You will be leading the development and deployment of advanced control systems for robotic platforms. This is a crucial role to really unlock the potential of what they are building with end-to-end ownership, from control theory and simulation to deployment on embedded systems. The team are composed of former pioneers from a variety of different robotics industries and have a clear mission to create technologies that support and augment human networks. You really will have the opportunity to make an impact from day 1 in a collaborative team environment alongside the very best in the industry. The ideal candidate will have deep experience tuning ground/flight control systems, writing embedded control algorithms in C++, and shipping real-world control software for robotic vehicles. This is not a modeling-only role, you’ll be responsible for taking algorithms from concept to real-world implementation, operating in close coordination with hardware, autonomy, and systems teams. Responsibilities
The role entails leading the development and deployment of advanced control systems for robotic platforms, with end-to-end ownership from concept to deployment on embedded systems. Work includes tuning ground/flight control systems, implementing control algorithms in C++ on embedded hardware, and collaborating with hardware, autonomy, and systems teams to ship real-world control software for robotic vehicles. Qualifications
bachelor’s or master’s degree in Aerospace Engineering, Robotics, Electrical Engineering, or a related field. 8+ years of experience in GNC or control systems engineering for autonomous vehicles. Strong background in classical and modern control theory, estimation, and systems dynamics. Demonstrated experience implementing control algorithms in C++ on embedded systems. Proficiency with control system development tools (e.g., MATLAB/Simulink, Python, Eigen, or similar). Deep familiarity with real-world flight control tuning, testing, and diagnostics. Ability to operate independently, own complex systems, and deliver in fast-paced environments. Any experience with aerospace or robotic systems operating in field or mission-critical contexts, familiarity with embedded software development practices, real-time constraints, and flight-critical software and knowledge of navigation, sensor fusion, and attitude estimation would be highly preferred. Employment details
Location: Redwood City, CA; Salary range: $95,000.00-$155,000.00 Other recent postings include locations in Santa Clara, CA; Richmond, CA; South San Francisco, CA; Vallejo, CA; Tracy, CA; Sunnyvale, CA; San Leandro, CA; San Jose, CA; Newark, CA; Fremont, CA; Oakland, CA; Mountain View, CA; Alameda, CA; and additional roles in related fields. These postings are for context and are not part of the current role description.
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