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F1 Racing Jobs in Silver Spring, MD (NOW HIRING)

BNH

Cost Analyst

Hyattsville, MD · On-site

$68K - $89K/yr

... race, color, religion, age, sex, national origin, disability status, genetics, protected veteran ... H1b, F1 OPT, F-1 STEM OPT, F-1 CPT, J-1, E-2, E-3, L-1, or other forms of work authorization that ...

BNH

Controls Engineer

Hyattsville, MD

$94K - $122K/yr

  • Medical

  • Retirement

  • PTO

H1b, F1 OPT, F-1 STEM OPT, F-1 CPT, J-1, E-2, E-3, L-1, or other forms of work authorization that ... race, color, religion, age, sex, national origin, veteran status, and any other grounds for ...

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F1 Racing information

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$12

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$28

How much do f1 racing jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for f1 racing in Silver Spring, MD is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $24.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an F1 racing driver?

To thrive as a Formula 1 Racing Driver, you need exceptional driving skills, extensive motorsport experience, physical fitness, and often a background in karting or lower racing series. Technical proficiency with telemetry data analysis, race simulation software, and knowledge of car mechanics is vital, alongside possessing a valid FIA Super Licence. Outstanding reflexes, mental resilience, teamwork, and strong communication skills help drivers excel under pressure and collaborate with engineers and teams. These abilities are critical for maximizing performance, maintaining safety, and achieving consistent results in the highly competitive and demanding world of Formula 1.

What is the difference between F1 Racing vs Formula 2 Racing?

AspectF1 RacingFormula 2 Racing
Required CredentialsSuper License, extensive racing experienceFIA-certified license, emerging driver status
Work EnvironmentWorld-class circuits, high-pressure racesSupport races, developmental circuits
Industry UsagePremier motorsport, global audienceDevelopmental series, feeder to F1

F1 Racing involves the highest level of motorsport competition with top-tier drivers and advanced technology, while Formula 2 Racing serves as a stepping stone for drivers aiming to reach F1. F1 drivers typically have more experience, higher credentials, and compete in more prestigious events. Both roles share a competitive environment and are integral to the motorsport industry, but F1 Racing is the pinnacle of racing careers.

What is an F1 racing driver?

F1 racing drivers are professional athletes who compete in Formula 1, the highest class of international single-seater auto racing. They drive specially designed, high-speed cars for teams in a series of races known as Grands Prix, held on circuits worldwide. F1 drivers are required to have exceptional skill, quick reflexes, and physical fitness to handle the demands of the sport. Their role involves not only racing but also working closely with engineers to optimize car performance and adapt to rapidly changing race conditions.

What are some common challenges faced by F1 racing engineers during a race weekend?

F1 racing engineers often face the challenge of making rapid, high-stakes decisions based on real-time data, weather changes, and evolving track conditions. They work long hours in a fast-paced, high-pressure environment, collaborating closely with drivers, mechanics, and data analysts to optimize car performance. Effective communication and adaptability are crucial, as strategies frequently need to be adjusted during practice, qualifying, and the race itself. Tight deadlines, technical troubleshooting, and ensuring compliance with FIA regulations add to the complexity of the role.

What job categories do people searching F1 Racing jobs in Silver Spring, MD look for?

The top searched job categories for F1 Racing jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for F1 Racing jobs?

Cities near Silver Spring, MD with the most F1 Racing job openings:

F1 Racing jobs near you
Infographic showing various F1 Racing job openings in Silver Spring, MD as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, 2% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $45,376 per year, or $21.8 per hour.

Artificial Intelligence Cybersecurity Engineer with Security Clearance

Sev1Tech

Arlington, VA • On-site

Other

Re-posted 19 days ago

Job description

We are seeking a skilled Artificial Intelligence Cybersecurity Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production. Sev1Tech is seeking an AI Integration Engineer to integrate AI models into production systems, ensuring robust performance, real-time monitoring, and secure operations. The AI Integration Engineer will bridge the gap between AI model development and production systems, integrating models into applications, APIs, and infrastructure. This role focuses on building dashboards for real-time and historical model health, detecting data drift, and managing AI logging, while ensuring secure-by-design practices and alignment with business objectives . Key Responsibilities * Model Integration : Integrate AI/ML models into applications (e.g., web, mobile, IoT) using APIs (REST, gRPC ) and platforms like TensorFlow Serving or AWS SageMaker. * Dashboard Development : Create real-time and historical dashboards using Grafana, Kibana, or Plotly to monitor model health (e.g., latency, accuracy) and data drift. * Drift and Health Monitoring : Implement monitoring pipelines with tools like Evidently AI or Weights & Biases to detect data drift and model degradation, triggering alerts as needed. * Logging and Tracing : Set up logging systems with ELK Stack, OpenTelemetry , or LangSmith to capture AI events, errors, and traces for debugging and auditing. * Security Implementation : Apply secure-by-design principles to protect models and data from vulnerabilities (e.g., adversarial attacks, data leakage) using tools like Adversarial Robustness Toolbox (ART). * System Optimization : Optimize model inference for performance (e.g., via quantization, edge deployment) and ensure compatibility with cloud (AWS, Azure) or on-premises infrastructure. * Collaboration : Partner with data scientists to understand model requirements, DevOps for infrastructure alignment, and stakeholders for reporting needs. * Testing and Validation : Perform end-to-end testing of AI integrations, including stress testing and validation of dashboard metrics. * Compliance : Ensure integrations comply with regulations like GDPR, HIPAA, or NIST AI RMF for secure data handling. Minimum Qualifications * * Education : Bachelor's or Master's degree in Computer Science , Software Engineering, Data Science, or a related field. * Experience : * 4 + years in software engineering or AI integration, with experience deploying AI models in production. * Hands-on experience with dashboarding tools (e.g., Grafana, Kibana) and observability platforms (e.g., Prometheus, Datadog). * Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for AI deployment. * Technical Skills : * Proficiency in Python; knowledge of JavaScript, C++, or Go is a plus for UI or system-level integration. * Experience with containerization (Docker, Kubernetes) and API development (REST, GraphQL ). * Expertise in logging frameworks (e.g., ELK Stack, OpenTelemetry ) and visualization tools (e.g., Plotly , Chart.js). * AI-Specific Skills : * Understanding of AI model metrics (e.g., F1 score, latency) and drift detection techniques (e.g., PSI, KS test). * Knowledge of AI vulnerabilities (e.g., prompt injection, model inversion) and mitigation strategies (e.g., differential privacy, ART). * Soft Skills : * Strong problem-solving skills for debugging integration issues and optimizing dashboards. * Excellent communication to translate technical metrics into business insights. * Collaboration skills to work across data science, DevOps, and product teams. * *Must be eligible to obtain a Department of Homeland Security EOD clearance (Requirements 1. US Citizenship, 2. Favorable Background Investigation) Desired Qualifications * * Experience with LLM-specific tools like LangSmith or Helicone for monitoring generative AI applications. * Familiarity with compliance frameworks (e.g., NIST AI RMF, OWASP AI Security Top 10). * Engagement with AI/ML communities, such as X platform discussions on #AISecurity or #MLOps. About Us Formed through the strategic union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and technology solutions. Founded on a legacy of excellence dating back to 1993, Entarian is a product of an evolved and fully diversified engineering and federal technology leader. From deep space to defense and civilian missions, Entarian delivers secure, mission-aligned digital solutions that drive national resilience and operational effectiveness. We don't just support modernization; we define it. Join the Mission and Start your Career Journey: Apply Directly via our Careers Portal Connect, Referrals & Inquiries? Email the team: Entarian is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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