Senior Engineer, State Estimation and Modeling - (SJ2026DV)

Archer; San Jose (CA); On-site; USD 205,000 - 216,000; Full time

Job summary

Archer seeks a Senior Engineer for State Estimation and Modeling in San Jose, CA. You will architect advanced state estimation algorithms for eVTOL platforms, implement them in Simulink, and integrate with air data systems, INS, GNSS, and sensors to support safe and efficient flight operations.

Responsibilities include developing V&V strategies, modeling sensors under nominal and degraded conditions, and collaborating with control, hardware, and software teams to ensure seamless integration

Qualifications

• Master’s degree in aerospace engineering, electrical engineering, robotics, or related field.
• 60 months of experience in sensor fusion algorithm development, modeling and simulation of sensors.
• PhD in aerospace engineering, electrical engineering, or robotics or related field is acceptable as equivalent.
• 36 months of experience in sensor fusion algorithm development, modeling and simulation of sensors as alternate experience.

Responsibilities

• Architect and design advanced state estimation algorithms for eVTOL aircraft, ensuring safety while considering performance, robustness, and computational efficiency.
• Implement state estimation algorithms, primarily in Simulink, ensuring adherence to modeling standards and best practices.
• Integrate state estimation solutions with hardware components including air data systems, INS, GNSS and other sensors.
• Synthesize system requirements to drive design and ensure cross-functional needs are met.
• Develop and execute verification and validation strategies for state estimation algorithms, including simulation, HIL testing, and flight testing.
• Develop and refine models to simulate sensors in nominal, degraded operation, and failure scenarios.
• Analyze data from simulation, lab testing, and flight testing to identify issues and characterize real-world performance.
• Collaborate with control laws, hardware, software, and test engineers to solve aircraft-level problems and ensure seamless integration.

Skills

Sensor fusion

Modeling & simulation

State estimation

Simulink

Education

Master’s in Aerospace Engineering

Master’s in Electrical Engineering

Master’s in Robotics

PhD in Aerospace Engineering / Electrical Engineering / Robotics

Tools

Simulink

Job description

Senior Engineer, State Estimation and Modeling - (SJ2026DV)

San Jose, California, United States

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.

Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.

What You’ll Do

• Architect and design advanced state estimation algorithms for eVTOL aircraft, ensuring safety while considering performance, robustness, and computational efficiency.
• Implement state estimation algorithms, primarily in Simulink, ensuring adherence to modeling standards and best practices.
• Integrate state estimation solutions with various hardware components, including air data systems, Inertial Navigation Systems (INS), Global Navigation Satellite Systems (GNSS), and other aviation-grade sensors.
• Synthesize system requirements used to drive design and ensure cross-functional needs are met.
• Develop and execute creative verification and validation (V&V) strategies for state estimation algorithms, including simulation, hardware-in-the-loop (HIL) testing, and flight testing.
• Develop and refine models to simulate sensors in nominal, degraded operation, and failure scenarios.
• Analyze and interpret data from simulation, lab testing, and flight testing to identify issues and characterize real-world performance.
• Collaborate with cross-functional teams, including control laws, hardware, software, and test engineers, to solve complex aircraft-level problems and ensure seamless integration.
• Build tools and processes to maximize engineering capability.

Minimum Education Requirement: Master’s in Aerospace Engineering, Electrical Engineering, Robotics, or related Engineering field.

Minimum Experience Requirement: 60 months of experience in sensor fusion algorithm development, modeling and simulation of sensors.

Alternate Education Requirement: PhD in Aerospace Engineering, Electrical Engineering, or Robotics or related Engineering field.

Alternate Experience Requirement: 36 months of experience in sensor fusion algorithm development, modeling and simulation of sensors.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are offering $205,379 to $215,647.95 per year #LI-DNI

Archer is unable to provide work visa sponsorship for this position at the present time.

Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out [e-mail] . All employment processes are managed by the Archer People Team.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.