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F1 Engineering Jobs (NOW HIRING)

McKesson

OR · On-site

... F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide ... Key Responsibilities Quality Engineering Ownership & Execution * Own and execute test strategy ...

McKesson

OR · On-site

... F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide ... Key Responsibilities Quality Engineering Ownership & Execution * Own and execute test strategy ...

ECS

Senior AI Engineer

Falls Church, VA · On-site

$111K - $153K/yr

... F1 score, and latency benchmarks in support of production readiness requirements. • Experience producing formal AI engineering deliverables including automation roadmaps, ML architecture diagrams ...

Kulite Semiconductor Products

Intern

Leonia, NJ · On-site

$19 - $23/hr

Internship Projects will be hands-on Engineering projects that will both provide benefit to the ... Racing (F1). Examples of past projects include: * Researching, choosing, purchasing and ...

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F1 Engineering information

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$39K

$123.4K

$190.5K

How much do f1 engineering jobs pay per year?

As of Jun 6, 2026, the average yearly pay for f1 engineering in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What is the difference between F1 Engineering vs Mechanical Engineering?

AspectF1 EngineeringMechanical Engineering
Required CredentialsDegree in engineering, specialized F1 racing certificationsBachelor's or Master's in Mechanical Engineering, professional licensure
Work EnvironmentHigh-pressure, fast-paced motorsport teams, on-track and lab settingsManufacturing, design, research labs, and various industries
Industry UsagePrimarily motorsport, automotive racing teamsBroad industry including automotive, aerospace, manufacturing

F1 Engineering focuses on high-performance racing car design and development within motorsport teams, requiring specialized certifications and working in dynamic, high-stakes environments. Mechanical Engineering offers a broader scope across multiple industries, emphasizing design, analysis, and manufacturing processes. While both fields share foundational engineering principles, F1 Engineering is highly specialized for racing applications, whereas Mechanical Engineering provides versatile career options.

What is F1 engineering?

F1 engineering refers to the specialized field of designing, developing, and optimizing Formula 1 race cars. It involves a multidisciplinary team of engineers who focus on areas such as aerodynamics, materials science, mechanical systems, electronics, and data analysis to maximize the performance, safety, and reliability of F1 vehicles. F1 engineering is highly competitive and fast-paced, requiring innovative solutions and constant adaptation to evolving regulations and technologies. Professionals in this field work closely with drivers and teams to ensure the car's setup and strategy are optimized for each race. The role demands a deep understanding of physics, engineering principles, and teamwork.

What are the key skills and qualifications needed to thrive as an F1 Engineer, and why are they important?

To thrive as an F1 Engineer, you need a strong background in mechanical or automotive engineering, advanced mathematics, and physics, typically supported by a relevant engineering degree. Proficiency in CAD software, data analysis tools, and simulation systems like CFD and FEA is essential, along with familiarity with telemetry systems. Outstanding problem-solving, teamwork, and communication skills help you adapt quickly and collaborate effectively under intense pressure. These skills and qualities are critical for optimizing car performance, ensuring safety, and driving innovation in the fast-paced world of Formula 1.

What are some typical challenges faced by F1 engineers during a race weekend, and how do teams address them?

F1 engineers often face challenges such as rapidly changing weather conditions, unexpected technical issues, and the need to adapt car setups for optimal performance. Communication and flexibility are crucial, as engineers must collaborate closely with drivers, strategists, and mechanics to analyze real-time data and make quick decisions. Teams address these challenges through thorough preparation, simulation work, and leveraging advanced telemetry systems to monitor car performance and predict potential problems. This dynamic environment requires engineers to remain calm under pressure and think creatively to help the team succeed.
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F1 Engineering jobs near you

ERS ML Design Optimization Engineer

GM Performance Power Units

Concord, NC • On-site

Full-time

Posted 29 days ago

Job description

GM Performance Power Units - Concord, NC
ERS ML Design Optimization Engineer - Onsite
Job Summary
GM Performance Power Units (GM PPU) seeks an ERS ML Design Optimization Engineer to join our team in Concord, NC. This role leverages ML for design optimization, simulation acceleration, and performance analysis of ERS systems (MGU-K, CU-K, ES) using telemetry and physics-based data. Focus on surrogate models to reduce sim cycles while meeting FIA constraints.
Key Responsibilities:
  • Build neural network surrogates (e.g., PINNs, graph nets) emulating ERS physics across thermal, electrical, degradation behaviors.
  • Implement tool-agnostic GA/BO optimization loops for multi-objective ERS design (mass/power/reliability).
  • Fuse/process petabyte-scale datasets from bench/dyno/track + DiL/HiL/SiL sims for training/validation.
  • Conduct sensitivity analysis, uncertainty quantification on ERS parameter spaces.
  • Develop ML-accelerated workflows integrated with NX/AVL/MATLAB/ANSYS sim chains.
  • Validate models against real duty cycles; iterate for FIA-constrained optima.
  • Document optimization pipelines, neural architectures, and results for design reviews.

Required Qualifications:
  • Bachelor's in CS/EE/Math/Physics; Master's/PhD in ML/scientific computing preferred.
  • 3+ years building neural surrogates for engineering sims; GA/BO optimization experience.
  • Expert in PyTorch/TensorFlow/JAX; large-scale time-series/physics data pipelines.
  • Proficiency handling multi-fidelity datasets (real + DiL/HiL/SiL).
  • Familiarity with hybrid powertrains, multi-physics sim tools.

Desirable Skills:
  • F1 ERS plant modeling (cell/MGU/ES performance prediction).
  • Neural operators/PINNs for PDE surrogates; multi-fidelity BO.
  • HPC workflows, data versioning (DVC), containerization.
  • Domain expertise in e-motors, batteries, power electronics.

Personal Attributes:
  • Delivers under aggressive development timelines.
  • Innovates across model/design/compute trade-offs.
  • Communicates complex ML insights to design engineers.
  • Rigorous validator of sim fidelity against reality.
  • Passionate about F1 performance engineering.

Why Join Us
You'll play a pivotal role in ensuring the reliability and performance of a next-generation Formula 1 power unit. Our culture rewards precision, innovation, and the relentless pursuit of performance.
Please note: GM Performance Power Units and all affiliated companies are Equal Opportunity employer(s). Minorities, women, veterans, and individuals with disabilities are encouraged to apply. For more information regarding the EEOC, please visit https://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf.
Only direct hires need apply to or inquire about job postings at GM Performance Power Units. We are not accepting calls, resumes or applications from recruiting firms at this time.

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