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As of Sep 9, 2026, the average hourly pay for fleet optimization engineer in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

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Infographic showing various Fleet Optimization Engineer job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.

Staff Advanced Concepts Optimization Engineer

San Jose, CA • On-site

Archer
See more jobs at Archerexternal

$200K - $240K/yr

Full-time

Re-posted 19 days ago

Key responsibilities

  • Develop Archer's multi-disciplinary optimization (MDO) engine, workflows, and high performance computing resources for aircraft concept development

  • Translate business goals and use cases into optimization objectives and constraints, and deploy the MDO engine to create optimal vehicle designs

  • Communicate findings to stakeholders and support executive decision making

Job description

Archer is an aerospace and defense company headquartered in San Jose, California, building the aircraft and technology that will define the next era of flight. The company works across air taxis, UAS, AI and powertrain development - building real-world systems that combine software intelligence with physical hardware. That includes Midnight, Archer's all-electric air taxi; Halo, an autonomous vertical takeoff and landing aircraft built for both commercial and defense use; and ZEE, Archer's AI foundation model built specifically for aviation. We're seeking exceptional engineers, operators and builders to join us on our mission to build the future of aerospace and defense.
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.
We are seeking driven, experienced, and innovative modeling, simulation, and optimization engineers to join our Concept Development team and architect the future of electric flight. Our team develops multi-disciplinary physics simulations, advanced optimization methods, and large-scale cloud computing infrastructure, then deploys these tools to design optimal vehicle configurations. We are exceptionally data-driven and rigorous in all of our methods. We value a strong understanding of the fundamentals of numerical methods and assessments of analysis uncertainties. We are passionate about developing electric flight, and appreciate the opportunity we have in this time and place to steer and accelerate its future.
Members of this team will:
  • Develop Archer's multi-disciplinary optimization (MDO) engine, workflows, and high performance computing resources for aircraft concept development
  • Translate business goals and use cases into optimization objectives and constraints.
  • Deploy the MDO engine to create optimal vehicle designs for use cases.
  • Communicate findings to stakeholders and support executive decision making.
  • Support systems engineers to transform their designs into high level requirements, and the broader Archer engineering team to turn it into reality.

Team Skills
Members of this team bring one or more of the following capabilities and past experiences:
  • General aircraft concept design
  • Development of Analysis of Advanced Air Mobility (AAM) network simulations and evaluation of fleet performance
  • Design of eVTOL mission profiles, assessment of vehicle performance, identification of load cases
  • Understanding of eVTOL vehicle control algorithms.
  • Physics-based and semi-empirical modeling of electric powertrains; sizing of electrical powertrains.
  • Coupled aerodynamic and structural modeling and optimization of fuselage, wing, and propeller via both high-fidelity (i.e. CFD, FEA) and reduced-order methods.
  • Development of physics-based mass and cost estimation relationships (CERs) for aerospace components.
  • Surrogate modeling via Neural Networks or Gaussian Processes (Kriging) for use as fast-running model proxies.
  • Modeling complex multi-physics systems of ODEs and DAEs and solving them using numerical methods.
  • Gradient-based optimization, including Automatic Differentiation and Adjoint methods.
  • Direct collocation and simultaneous sizing/trajectory optimization.
  • Evolutionary algorithms and/or other non-gradient based methods for discrete-variable optimization.
  • Uncertainty Quantification (UQ) and sensitivity analysis methods.
  • Deploying parallelized simulation, analysis, or optimization workflows on cloud infrastructure and systems to store, query, and handle the resultant large datasets.
  • Collaborating with discipline experts to build accurate models and validate analysis and optimization results
  • Communicating complex technical topics and driving consensus amongst both technical and non-technical stakeholders
  • Proficient in Python with NumPy, SciPy, OpenMDAO, JAX, CasADi, SMT, PyTorch, and / or other specialized scientific and optimization packages.

Candidate Requirements
  • We are currently open to hiring for this position at the Senior, Staff, or Senior Staff level. Your final leveling and base salary will be determined by interview calibration and a comprehensive assessment of your skills and experience.
  • Senior Level: 5+ years of relevant engineering experience.
    • Base Salary Range: $130,000 - $160,000
  • Staff Level: 8+ years of relevant engineering experience, including a proven track record of architectural ownership and technical leadership.
    • Base Salary Range: $160,000 - $200,000
  • Senior Staff Level: 12+ years of relevant engineering experience, with a history of driving multi-year technical strategy and cross-organizational impact.
    • Base Salary Range: $200,000 - $240,000

Additional Compensation: The base salary ranges listed above do not include our total rewards package. The final bonus and equity amounts will be determined during the interview calibration process.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer's People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
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.
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 to People@archer.com. All employment processes are managed by the Archer People Team.

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