Senior Staff Engineer, Autonomy (R3955)

Shield AI; City Of London; On-site; GBP 133,000 - 201,000; Full time

Job summary

A leading technology company in London is seeking an experienced Autonomy Engineer to solve complex autonomy problems across multiple platforms. The role involves collaborating with engineers to integrate autonomous systems and requires significant experience in robotics and unmanned systems. The salary range is £133,600 - £200,400, alongside a comprehensive employee offer package.

Benefits

Bonus

Benefits

Equity

Qualifications

• Minimum 10 years of related experience or equivalent
• Strong background in robotics and autonomy
• Experience in Unmanned Systems programs

Responsibilities

• Lead teams in artificial intelligence and motion planning
• Architect solutions with engineering teams
• Write autonomous behaviors for aircraft platforms

Skills

Problem-solving approaches

Collaboration

Communication skills

Organizational skills

Education

BS/MS in relevant engineering or computer science fields

PhD or equivalent experience

Job description

Founded in 2015, Shield AI is a venture‑backed deep‑tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V‑BAT and X‑BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia‑Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

Job Description

This position is perfect for an individual who enjoys solving the most complex problems across a portfolio of diverse domains and modalities. An ideal candidate is expected to apply classical autonomous techniques, algorithms, and theory to various platforms in multiple tactical scenarios. These solutions are expected to be integrated into real‑world problems with near‑term program impacts and rewards.

Shield AI is looking to continue to push the envelope by teaming traditional autonomous systems algorithms and deep reinforcement learning‑based solutions to create an unmatched capability and speed to deployment technology base.

What you’ll do

• As an Autonomy Engineer on this team, you will lead teams at the intersection of artificial intelligence, task & motion planning, and controls.
• You will work closely with talented engineers to architect solutions, set standards for software engineering, drive strategic technical improvements, and mentor other engineers.
• Integrate Shield AI autonomy products together with third party systems
• Write autonomous behaviors for varying aircraft platforms (i.e., VTOL and Fixed Wing)
• Work with Subject Matter Experts to understand customer needs and implement appropriate autonomy solutions

Required qualifications

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
• Significant background in robotics technologies related to sensing, estimation, path planning, and data fusion.
• Proficiency in software development, benchmarking, debugging, and deployment
• 7+ years of experience in Unmanned Systems programs in the DoD or applied R&D
• 2+ years of people leadership experience
• Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)
• Experience working projects with 10+ contributors
• Offers Fast, efficient, effective problem solving approaches
• Exceptional collaborator and communicator
• Comfortability within Unix environments
• Hard‑working, trustworthy teammate
• Exhibits holding themselves and others to high standards
• Being kind to others
• Ability to obtain a SECRET clearance
• Experience in a collaborative development environment, focused on continuous integration/delivery & test‑driven development
• Strong knowledge of modern software engineering best practices
• Demonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others
• Strong organizational skills

Preferred qualifications

• MS or greater in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Mathematical background in both linear/nonlinear control theory and autonomous systems technologies/algorithms
• Demonstrated problem solving skills by applying a scientific approach
• Ability to understand, derive, and implement motion models and accompanying controllers for trajectory generation and tracking.
• Active UK security clearance

Salary range

£133,600 - £200,400 a year

Full‑time regular employee offer package

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part‑time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.