Autonomous Solutions, Inc. (ASI)
Embedded Systems Architect
Autonomous Solutions, Inc. (ASI), Mendon, Utah, United States, 84325
Join to apply for the
Embedded Systems Architect
role at
Autonomous Solutions, Inc. (ASI) 19 hours ago Be among the first 25 applicants Join to apply for the
Embedded Systems Architect
role at
Autonomous Solutions, Inc. (ASI) Get AI-powered advice on this job and more exclusive features. At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. We deliver technologies that enhance safety, productivity, and efficiency. With our core values of
Simplicity ,
Safety ,
Transparency ,
Humility ,
Attention to Detail
and
Growth
guiding everything we do, we're shaping the future of automation in dynamic markets.
As a
Principal Architect for On-Vehicle & Embedded Systems
you will be responsible for defining and guiding the technical architecture of ASI's on-board autonomy software and embedded systems, with a primary focus on the Vehicle Control Unit (VCU) and Vehicle Artificial Intelligence (VAI). The VCU executes autonomy plans safely and reliably on the vehicle and the VAI processes perception data to ensure the vehicle drives safely through the environment. This role ensures that complex, safety-critical vehicle control components are designed to be reliable, maintainable, and scalable across product lines. It also contributes to R&D efforts by evaluating and prototyping new technologies that support ASI's roadmap for advanced on-vehicle and embedded autonomy systems. Working closely with the Lead Principal Architect and other Principal Architects (the Principal Architecture Team or PAT), the Principal Architect for On-Vehicle & Embedded Systems provides deep domain expertise in embedded development, real-time systems, and integration with ASI's overall autonomy platform.
Responsibilities
Define and drive the technical direction of the software and system for on-vehicle autonomy controllers and embedded components, specifically the VCU and VAI, and the integration with perception, planning, and control algorithms. Provide technical leadership and guidance on best practices in embedded software design, real-time systems, and integration with autonomy and perception stacks. Ensure that on-vehicle systems meet requirements for performance, safety, and functional reliability, in collaboration with Functional Safety and Validation Engineers. Collaborate with AI/ML individuals and others on the Principal Architecture Team to help define interfaces between perception/planning/control algorithms and embedded execution environments. Participate in R&D activities to evaluate, prototype, and help realize roadmap technology items relevant to on-vehicle and embedded autonomy systems. Work with Simulation Specialists to validate embedded system behavior in simulated and real-world scenarios. Develop and maintain clear technical documentation, architectural diagrams, and interface specifications. Support and report to the Lead Principal Architect in driving cohesive system-wide architectural standards and technology strategy.
Required Qualifications
Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Robotics, or a related field. 8+ years of experience in embedded software development, real-time systems, or on-vehicle control systems using languages relevant to embedded systems (e.g., C/C++, embedded Python). Proven expertise in designing and architecting embedded solutions for complex, safety-critical applications. Familiarity with real-time operating systems (RTOS), embedded Linux, and hardware/software integration. Experience working with communication protocols (e.g., CAN, Ethernet, serial) in vehicle or robotics contexts. Understanding of functional safety principles (e.g., ISO 26262) is highly desirable. Ability to produce high-quality documentation and communicate complex technical designs clearly to diverse audiences.
At
Autonomous Solutions, Inc. (ASI) , we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Automation Machinery Manufacturing Referrals increase your chances of interviewing at Autonomous Solutions, Inc. (ASI) by 2x Sign in to set job alerts for “System Architect” roles.
Logan, UT $169,000.00-$315,000.00 1 month ago North Logan, UT $169,000.00-$315,000.00 4 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Embedded Systems Architect
role at
Autonomous Solutions, Inc. (ASI) 19 hours ago Be among the first 25 applicants Join to apply for the
Embedded Systems Architect
role at
Autonomous Solutions, Inc. (ASI) Get AI-powered advice on this job and more exclusive features. At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. We deliver technologies that enhance safety, productivity, and efficiency. With our core values of
Simplicity ,
Safety ,
Transparency ,
Humility ,
Attention to Detail
and
Growth
guiding everything we do, we're shaping the future of automation in dynamic markets.
As a
Principal Architect for On-Vehicle & Embedded Systems
you will be responsible for defining and guiding the technical architecture of ASI's on-board autonomy software and embedded systems, with a primary focus on the Vehicle Control Unit (VCU) and Vehicle Artificial Intelligence (VAI). The VCU executes autonomy plans safely and reliably on the vehicle and the VAI processes perception data to ensure the vehicle drives safely through the environment. This role ensures that complex, safety-critical vehicle control components are designed to be reliable, maintainable, and scalable across product lines. It also contributes to R&D efforts by evaluating and prototyping new technologies that support ASI's roadmap for advanced on-vehicle and embedded autonomy systems. Working closely with the Lead Principal Architect and other Principal Architects (the Principal Architecture Team or PAT), the Principal Architect for On-Vehicle & Embedded Systems provides deep domain expertise in embedded development, real-time systems, and integration with ASI's overall autonomy platform.
Responsibilities
Define and drive the technical direction of the software and system for on-vehicle autonomy controllers and embedded components, specifically the VCU and VAI, and the integration with perception, planning, and control algorithms. Provide technical leadership and guidance on best practices in embedded software design, real-time systems, and integration with autonomy and perception stacks. Ensure that on-vehicle systems meet requirements for performance, safety, and functional reliability, in collaboration with Functional Safety and Validation Engineers. Collaborate with AI/ML individuals and others on the Principal Architecture Team to help define interfaces between perception/planning/control algorithms and embedded execution environments. Participate in R&D activities to evaluate, prototype, and help realize roadmap technology items relevant to on-vehicle and embedded autonomy systems. Work with Simulation Specialists to validate embedded system behavior in simulated and real-world scenarios. Develop and maintain clear technical documentation, architectural diagrams, and interface specifications. Support and report to the Lead Principal Architect in driving cohesive system-wide architectural standards and technology strategy.
Required Qualifications
Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Robotics, or a related field. 8+ years of experience in embedded software development, real-time systems, or on-vehicle control systems using languages relevant to embedded systems (e.g., C/C++, embedded Python). Proven expertise in designing and architecting embedded solutions for complex, safety-critical applications. Familiarity with real-time operating systems (RTOS), embedded Linux, and hardware/software integration. Experience working with communication protocols (e.g., CAN, Ethernet, serial) in vehicle or robotics contexts. Understanding of functional safety principles (e.g., ISO 26262) is highly desirable. Ability to produce high-quality documentation and communicate complex technical designs clearly to diverse audiences.
At
Autonomous Solutions, Inc. (ASI) , we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Automation Machinery Manufacturing Referrals increase your chances of interviewing at Autonomous Solutions, Inc. (ASI) by 2x Sign in to set job alerts for “System Architect” roles.
Logan, UT $169,000.00-$315,000.00 1 month ago North Logan, UT $169,000.00-$315,000.00 4 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr