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F1 Engineering Jobs in Virginia (NOW HIRING)

S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering ... Establish rigorous evaluation: precision/recall, F1, ROC/PR AUC, calibration, confusion analysis ...

Product Manager

Arlington, VA · On-site

$120K - $150K/yr

Partner closely with the VP Product and engineering leadership to prioritize, define, and deliver ... provide F1-OPT or other visa sponsorship. Our Commitment We're trailblazers who dream big, take ...

Controller - Pixis Drones

Alexandria, VA · On-site

$120K - $180K/yr

... programmable aerial media at the highest level. We design and fly custom drone light shows for global brands, major sports properties, and Fortune 500 clients, including the NFL, Netflix, F1, and the ...

Controller - Pixis Drones

Alexandria, VA · On-site

$120K - $180K/yr

... programmable aerial media at the highest level. We design and fly custom drone light shows for global brands, major sports properties, and Fortune 500 clients, including the NFL, Netflix, F1, and the ...

Showing results 41-49

F1 Engineering information

See Virginia salary details

$38.7K

$122.3K

$188.9K

How much do f1 engineering jobs pay per year?

As of Aug 15, 2026, the average yearly pay for f1 engineering in Virginia is $122,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $145,200.00 per year, depending on experience, location, and employer.

What kind of engineers are in F1 engineering?

F1 engineering involves various specialized engineers, including aerodynamics engineers, mechanical engineers, electronics engineers, and data engineers. These professionals work together to optimize car performance, often using advanced simulation tools and working in high-pressure environments. A strong background in engineering principles, programming, and experience with F1-specific technologies are common requirements.

How can I get into F1 engineering?

To pursue a career in F1 engineering, candidates typically need a strong background in mechanical, electrical, or automotive engineering, often holding a bachelor's or master's degree in a relevant field. Gaining experience through internships, apprenticeships, or work with motorsport teams, along with proficiency in CAD software and understanding of vehicle dynamics, is essential. Networking within the motorsport industry and staying updated on technological advancements also improve chances of entering F1 engineering roles.

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.

Does F1 Engineering hire engineers?

F1 engineering teams regularly hire engineers with skills in aerodynamics, vehicle dynamics, electronics, and data analysis. Candidates often need relevant degrees, technical expertise, and experience with simulation tools or racing environments. Job opportunities are typically available through team websites, engineering job boards, and industry events.

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.
Infographic showing various F1 Engineering job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $122,341 per year, or $58.8 per hour.

Data Scientist, Computer Vision

BWXT

Lynchburg, VA • On-site

Full-time

Medical, Dental, Retirement, PTO

Re-posted 10 hours ago


Job description

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. A U.S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering innovator that provides safe and effective nuclear solutions for global security, clean energy, environmental restoration, nuclear medicine and space exploration. With more than 7,800 employees, BWXT has 14 major operating sites in the U.S., Canada and the U.K. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental restoration and operations management at a dozen U.S. Department of Energy and NASA facilities. BWXT’s technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. For more information, visit www.bwxt.com. Follow us on LinkedIn, X, Facebook and Instagram.

Welcome to BWXT
We believe in empowering our employees and cultivating a dynamic workplace that fosters growth and collaboration. Whether you’re an experienced professional or just starting your career, you'll find opportunities to challenge yourself, learn from seasoned experts, and contribute to nuclear innovation. We required a diverse range of skills to support our work in the markets that drive our business and welcome candidates from all backgrounds and life stages who are passionate about making a difference.

BWXT is People Strong, Innovation Driven - be part of BWXT’s innovation hub. BWXT’s Advanced Technologies (AT) group researches, designs, and develops innovative new nuclear reactors, nuclear rocket propulsion systems, and radioisotope production systems for both internal and external customers.

If you are looking for a career where your experience is valued, innovative thinking is fostered, and barrier-free teamwork is embraced every day, then this opportunity is for you.

Position Overview:

BWXT Advanced Technologies is seeking a Data Scientist, Computer Vision (Classification & Deep Learning) to design, train, evaluate, and productionize image classification models that power critical decisions across our products and operations. You will own datasets, modeling, and deployment for robust, scalable visual classification—delivering measurable accuracy, reliability, and latency improvements.

Location:

This position is based on-site in Lynchburg, VA at the Advanced Technologies Office.

Your Day to Day as a Data Scientist, Computer Vision:

  • Lead end to end Computer Vision classification: problem definition, dataset creation, experiment design, model training, evaluation, deployment, and monitoring.
  • Develop modern deep learning models using CNNs (ResNet/EfficientNet) and Vision Transformers (ViT/Swin), leveraging transfer learning, fine tuning, and self /weakly supervised methods as appropriate.
  • Handle imbalanced/noisy/multi label data with class aware sampling, focal/cost sensitive losses, label smoothing, and advanced augmentations (RandAugment, MixUp, CutMix).
  • Establish rigorous evaluation: precision/recall, F1, ROC/PR AUC, calibration, confusion analysis, per class metrics, subgroup fairness, and stress testing for lighting, occlusion, motion blur, and device variation.
  • Build data & experiment pipelines: image ingestion, labeling QC, dataset versioning and experiment tracking with automated reproducibility.
  • Production operations: deploy services, implement drift detection and alerting, schedule retraining, support A/B tests and human in the loop review.
  • Cross functional collaboration with data engineering, product, operations, and quality to integrate outputs into workflows and dashboards.

Required Qualifications:

  • A bachelor’s degree in computer science, electrical engineering, physics, or related field is required.
    • A minimum of six (6) years of building and deploying computer vision classification models in production or related work experience is required.
  • Must have strong experience with PyTorch (preferred) or TensorFlow/Keras; along with proficiency in Python (NumPy/Pandas); and familiarity with scikit learn for baselines and metrics.
  • Must have hands on with OpenCV, torchvision/timm, albumentations; image pre /post processing and dataset curation.
  • Must have demonstrated expertise with CNNs & Vision Transformers, transfer/self supervised learning (e.g., SimCLR/MoCo/DINO/MAE), mixed precision training, and training efficiency.
  • Must have experience exporting and serving models (ONNX, TensorRT/OpenVINO), containerization (Docker), and CI/CD for ML services.
  • Must be able to communicate effectively and translate model results into actionable product/operations insights.
  • Must have a deep understanding of image classification theory and practice: loss functions, optimization, augmentation, calibration, and thresholding.
  • Must have strong software engineering discipline: code reviews, testing, logging/observability.
  • Must be proficient in experiment design, statistical analysis, and scientific communication.
  • Must have a strong understanding of security/privacy best practices for visual data (PII/PHI as applicable).
  • Must be a U.S. citizen.
  • Must be able to obtain and maintain a U.S. Department of Energy (DOE) or Department of Defense (DOD) security clearance, whichever is required.

 

Preferred Qualifications:

  • MS/PhD in Computer Science, Electrical Engineering, Physics, or related field.
  • Edge inference (NVIDIA Jetson/ARM), streaming pipelines, or multi camera systems.
  • Data labeling operations (CVAT/Label Studio), quality control, and consensus strategies.
  • Robustness to domain shift; techniques for generalization across environments/devices.
  • Weak supervision, active learning, or semi-automated data curation.
  • Interpretability (Grad CAM), calibration, and documentation (model cards, datasheets).

What We Offer:

  • Competitive salary and benefits package, including health, dental, and retirement plans.
  • Flexible work schedules and paid time off to promote a healthy work-life balance.
  • Professional development opportunities, including mentorship programs and sponsorship for continuing education.
  • An inclusive atmosphere that celebrates new perspectives and supports collaboration between different generations.
  • The chance to be part of a mission-driven organization making a positive impact on the future of energy.
  • Opportunities for continuous learning and training to grow throughout your career!

Pay: $76,000.00 - $119,000.00

The base salary range for this position in Virginia (US-VA) at the start of employment is expected to be between $76,000.00 and $119,000.00 per year. However, the base salary offered is based on local job market factors, and may vary further depending on factors specific to the selected job candidate, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to these considerations, the total compensation package for this position may also include other elements, such as an annual cash incentive in addition to a full range of medical, retirement, and/or other benefits. Details of participation in these benefit plans will be provided at such time the selected job candidate receives an offer of employment. If hired, the selected job candidate will be employed 'at-will,’ unless employed at a location and in a position subject to a collective bargaining agreement.  The company further reserves the right to modify base salary (as well as any other discretionary payment, compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and other market factors.

As a federal government contractor, BWX Technologies, Inc. and any subsidiaries, affiliates and related entities (“BWXT” or the “Company”) complies with all federal, state, and local laws and customer requirements regarding health and safety protocols.  As such, all BWXT new hires will be required to adhere to applicable Company health and safety requirements within the workplace as a condition of employment.

All candidates must be U.S. citizens. Selected applicants are required to successfully complete a pre-employment check and drug screening. In addition, the position may require the ability to obtain and maintain applicable federal eligibility requirements for access to classified/sensitive information or matter which involves an extensive criminal and financial background investigation, drug test, previous employment, and reference verifications.

BWXT is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color, religion, sex, national origin, citizenship, age, disability, protected veteran or other protected status.

BWX Technologies, Inc. and its affiliates and subsidiaries (BWXT) is not responsible for and does not accept any liability for fees or other costs associated with resumes or candidates presented by recruiters or employment agencies, unless a binding, written recruitment agreement between BWXT and the recruiter or agency exists prior to the presentation of candidates or resumes to BWXT and includes the specific services, job openings, and fees to be paid (“Agreement”). BWXT may consider any candidate for whom a recruiter or agency has submitted an unsolicited resume and explicitly reserves the right to hire such candidate(s) without any financial obligation to the recruiter or agency unless an Agreement is in place prior to presentation and such Agreement explicitly encompasses the job opening for which such fees or costs are sought. An email, verbal or other informal contact with any person within BWXT will not create a binding agreement. Agencies or recruiters without an Agreement are directed not to contact any hiring managers of BWXT with recruiting inquiries or resumes. Recruiters and agencies interested in partnering with BWXT may contact BWXT’s Talent Acquisition team at talent_acquisition@bwxt.com.