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F1 Engineering Jobs in Boca Raton, FL (NOW HIRING)

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F1 Engineering information

See Boca Raton, FL salary details

$37K

$117.1K

$180.8K

How much do f1 engineering jobs pay per year?

As of Jul 27, 2026, the average yearly pay for f1 engineering in Boca Raton, FL is $117,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $139,000.00 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 engineering jobs are in F1?

F1 engineering offers roles such as aerodynamics engineer, mechanical engineer, systems engineer, electronics engineer, and data engineer. These positions involve designing, developing, and optimizing car components, often requiring skills in CAD software, data analysis, and knowledge of high-performance vehicle systems.

What engineers make $500,000?

In the field of F1 engineering, senior engineers, aerodynamics specialists, and lead technical roles can earn salaries approaching or exceeding $500,000 annually, especially with experience, advanced skills, and working for top teams. These positions often require advanced degrees, specialized knowledge of vehicle dynamics, and experience with high-performance engineering tools. Compensation may also include bonuses and performance incentives based on team success.

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.

How to work in F1 as an engineer?

To work in F1 as an engineer, candidates typically need a degree in engineering or a related field, along with experience in motorsport or high-performance engineering. Skills in aerodynamics, data analysis, and familiarity with tools like CAD and simulation software are essential, and roles often require working in a fast-paced, team-oriented environment with long hours during race seasons.

How much is an F1 engineer paid?

F1 engineers typically earn between $50,000 and $150,000 annually, depending on experience, team size, and location. Senior engineers or those working for top teams can earn higher salaries, often supplemented with bonuses and benefits. Entry-level positions may start lower but can increase with expertise and performance.
What are popular job titles related to F1 Engineering jobs in Boca Raton, FL? For F1 Engineering jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching F1 Engineering jobs in Boca Raton, FL look for? The top searched job categories for F1 Engineering jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for F1 Engineering jobs? Cities near Boca Raton, FL with the most F1 Engineering job openings:
F1 Engineering jobs near you
Infographic showing various F1 Engineering job openings in Boca Raton, FL as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $117,102 per year, or $56.3 per hour.
Staff AI Engineer

Staff AI Engineer

Modernizing Medicine, Inc.

Boca Raton, FL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Join the Team Modernizing Medicine

AtModMed, we're not just building software-we're reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a radically different approach:we hired doctors and taught them how to code.This "for doctors, by doctors" philosophy has allowed us to create an AI-enabled, specialty-specific cloud platform that places patients at the center of care.

A Culture of Excellence

When you join ModMed, you're joining an award-winning team recognized for innovation and employee satisfaction. From our global headquarters in Boca Raton Florida, and extensive employee base in Hyderabad India, we are a team of 4,500+ passionate problem-solvers on a mission to increase medical practice success and improve patient outcomes:

  • Consistently ranked as a Top Place to Work

  • 2025 Globee Business Awards:Gold Globee for "Technology Team of the Year"

  • 2025 Black Book Awards:Ranked #1 EHR in 11 Specialties

  • Florida Venture Forum:Venture-Backed Company of the Year

We are growing fast, thinking big, and we are just getting started.

Ready to modernize medicine with us?

Job Description Summary:

As a Staff AI Engineer, you define and drive the architecture of AI and agentic systems across multiple teams and product domains. This is a senior individual-contributor leadership role: you influence high-impact architectural decisions, evolve the practices and standards for building agentic AI, and turn experimental AI capabilities into reliable production systems. You set direction for multi-agent orchestration, production RAG (hybrid search, re-ranking, and query routing), tool and MCP integration, and the evaluation and observability stack that keeps them dependable. You mentor senior engineers and represent AI engineering in cross-functional and strategic initiatives. A background in classical ML is an asset; the primary requirement is a proven track record of shipping production agentic AI.

KEY RESPONSIBILITIES

  • Define and drive technical direction for AI and agentic systems, and contribute to the AI platform roadmap across teams

  • Influence architecture decisions for compute, cloud, and AI infrastructure across teams

  • Lead the design of large-scale AI/LLM systems: inference platforms, APIs, and distributed architectures

  • Architect production multi-agent systems end-to-end: orchestration, state management, tool integration, and failure handling

  • Define and drive best practices and standards for AI/LLM systems across teams (agent design, evaluation, observability, reliability)

  • Lead complex production debugging and incident response across teams, and harden the resulting fixes into platform guardrails

  • Mentor senior engineers and emerging technical leaders, raising the engineering bar

  • Lead technical design reviews and architecture decision records (ADRs) for critical AI infrastructure

  • Contribute to capacity planning and cost optimization strategies for AI/LLM infrastructure

GENAI / AGENTIC AI CAPABILITIES

  • Define and drive vector database and RAG architecture decisions across systems and teams: structured RAG, hybrid search (dense + sparse + keyword), re-ranking, and query routing

  • Lead multi-agent platform architecture decisions: runtime selection, orchestration patterns, and enterprise integration strategy

  • Set the technical direction for MCP (Model Context Protocol) adoption and agent runtime infrastructure

  • Shape agent infrastructure adoption: evaluate and standardize frameworks, tooling, and deployment patterns for agentic AI

  • Architect evaluation infrastructure for non-deterministic LLM systems: synthetic golden-set generation, hierarchical weighted scoring (component, composite, and system-level F1), bootstrap confidence intervals, and paired A/B comparison, treating a change as real only when it is both statistically significant and clears a minimum effect size

  • Gate deployments on eval results: tiered regression thresholds (hard-gate vs monitor components) wired into CI so a measurable quality regression blocks the release, with observability via tracing across multi-step chains and tool calls and drift detection on LLM inputs and outputs

  • Drive LLM cost optimization at scale: model routing, caching, batching, token budget management, and provider cost analysis

REQUIRED SKILLS & QUALIFICATIONS

  • Master's or Ph.D. degree in Computer Science, Software Engineering, or a related field.

  • 10+ years of professional experience in ML/AI or software engineering, including 4+ years in senior or staff-level roles with production system ownership

  • Demonstrated engineering leadership, including driving technical strategy and influencing cross-team decisions

  • Expertise in platform and distributed-systems architecture at scale: model serving, APIs, data platforms, and AI/LLM infrastructure

  • Hands-on experience architecting and operating production agentic AI or LLM systems (multi-agent workflows, production RAG, tool and MCP integration)

  • Deep understanding of embedding models, retrieval algorithms, and vector database internals

  • Strong production debugging, reliability, and incident-response skills

  • Experience building rigorous evaluation for non-deterministic AI systems, including statistical methods (such as bootstrap confidence intervals and minimum effect-size thresholds) to separate genuine quality changes from run-to-run model variance

  • Cost-awareness for cloud AI/LLM workloads: capacity planning and cost optimization

  • Proven mentorship of mid-level and senior engineers

  • Strong communication skills for executive and cross-functional audiences

PREFERRED QUALIFICATIONS (NICE TO HAVE)

  • Experience in Healthcare, FinTech, or other regulated industries

  • Experience building AI/LLM systems or platform components from the ground up

  • Defined best practices for AI-assisted development (Claude Code): code quality standards, review, and responsible usage across teams

  • Track record of conference talks, published papers, or significant open-source contributions

  • Experience with GPU-accelerated inference and model serving optimization

  • Familiarity with workflow orchestration and streaming architectures for real-time AI

ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits:

United States

  • Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution,
  • 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep.
  • Generous Paid Time Off and Paid Parental Leave programs,
  • Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs,
  • Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed,
  • Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning,
  • Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles,
  • Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters.

PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (first.lastname@modmed.com). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.

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