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About This Role
Scientific Applications & Research Associates, Inc. (SARA) is a world-class Defense Research and Development enterprise, with a charter to create new and emerging technology innovations in support of Commercial & Government organizations. We have expertise in RF, EMP, Pulsed Power, Acoustics and Threat Warning Systems, and we prioritize partnering with our customers to address real-world problems with cost-effective solutions… that work.
The SARA, Inc. High Power Electromagnetics Division (HPEM) is looking for a motivated and skilled RF Engineer to join our team, focusing on the design, development, and testing of RF systems and components in Colorado Springs, CO. The ideal candidate will have a strong foundation in RF technologies, with a passion for applied physics and the ambition to contribute to research across multiple disciplines. This role requires a balance of theoretical knowledge and practical application, aiming to innovate and improve RF solutions. The candidate will have the opportunity to grow and learn with talented engineers, physicists, and technicians on long-standing programs and new programs supporting our customers. Our small group will allow the candidate to experience, contribute, and collaborate in a multidisciplinary nature from conception all the way through to operation.
The candidate must be a high-performing engineer with a substantial technical pedigree in Electromagnetics, high power RF Technologies, and Applied Physics. Candidates must be strong team participants, have excellent communication skills, be resourceful and creative, and willing to contribute to a multidisciplinary and fast-paced engineering environment.
Responsibilities:
- Design and develop RF circuits, systems, and antennas for various applications, ensuring optimal performance and reliability
- Collaborate with cross-functional teams to integrate RF systems with other electronic and mechanical systems
- Conduct experimental tests and validations of RF designs in the lab, utilizing equipment such as spectrum analyzers, network analyzers, free-field diagnostics, and signal generators
- Support the transition of RF designs from concept to production, including troubleshooting, optimization, and documentation
- Stay abreast of the latest RF technologies and trends, applying innovative approaches to solve technical challenges
- Prepare technical documentation, including design specifications, test reports, and operational manuals Technical Skillsets
- Knowledge of software like AWR, ADS, SPICE, OrCAD, COMSOL, PYTHON, CST, or MATLAB for design, simulation, and analysis
- Strong grasp of RF engineering principles, electromagnetic theory, signal processing, and wireless high-power systems
- Familiarity with using spectrum analyzers, network analyzers, signal generators, and other RF testing equipment
- Awareness of relevant industry standards, regulations, and best practices in RF design and safety Key Competencies
- Leadership and team management
- Decision-making and problem-solving
- Effective communication
- Time management and organization
- Mentoring and coaching skills Minimum Requirements:
- Bachelor's degree in Electrical Engineering, Physics, or a related field
- 4 – 6 years of experience in RF engineering or a related role
- Demonstrated experience in RF circuit design and analysis
- Solid understanding of applied physics principles relevant to RF technologies
- Ability to analyze complex technical problems and devise effective solutions
- Precision in design, testing, and troubleshooting to ensure system reliability and performance
- Effective communication skills, both written and verbal, with the ability to work collaboratively in a team environment
- US citizen with the ability to obtain and maintain a Top Secret or equivalent DoD clearance
- May require Moderate physical effort, including standing, sitting, and use of hands while performing duties, and carrying or lifting up to 50 pounds
- Working environment is indoor, moderately quiet, reasonably clean, well-lighted, and well-ventilated; moderate physical hazards may exist
- Available for moderate levels of travel and off-site work Preferred Qualifications:
- Master's degree or higher in Electrical Engineering, Physics, or a related field with a focus on RF technologies
- 6 – 10 years of relevant work experience
- Experience with multidisciplinary research and the application of RF technologies in novel areas
- Experience with solid-state RF design and high-power RF technologies
- Publication record in relevant scientific or engineering journals
- Strong familiarity with COMSOL Multiphysics simulation suite
- Knowledge and experience with software-defined radios (SDRs), including familiarity with SDR hardware, software platforms (e.g., GNU Radio), and the development of custom digital signal processing algorithms
- Experience in the design, simulation, and testing of Monolithic Microwave Integrated Circuits (MMICs), including proficiency with MMIC design tools and fabrication processes
- Experience in project management, with the ability to lead projects and mentor junior engineers
- Active DoD Secret or Top Secret Clearance SARA offers a competitive benefits package to include:
- Medical, dental, vision, disability and life insurance; and other supplemental programs
- A generous PTO program (vacation, sick, holiday)
- Tuition & certification reimbursement
- Flexible work schedules
- Employee bonuses
- 401(k) match/profit sharing
- Employee Stock Ownership Plan (ESOP)
Pay Range
Salary at SARA is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $85,000 to $130,000 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of SARA’s total compensation package for employees. Positions are on-site, unless indicated otherwise.
Application Deadline: November 5, 2026
SARA is an equal employment opportunity employer.
Salary Context
This $85K-$130K range is in the lower quartile for Research Engineer roles in our dataset (median: $165K across 57 roles with salary data).
View full Research Engineer salary data →Role Details
About This Role
Research Engineers bridge the gap between research and production. They implement papers, build experiment infrastructure, optimize training pipelines, and make research prototypes production-ready. They're the engineers who make research work at scale.
The role sits at a unique intersection. You need to understand the math well enough to implement novel architectures correctly, and you need the engineering chops to make them run efficiently on distributed systems. When a research scientist has a breakthrough idea, you're the person who turns it from a notebook prototype into a training pipeline that runs on 256 GPUs.
Across the 9,079 AI roles we're tracking, Research Engineer positions make up 2% of the market. At SARA Inc, this role fits into their broader AI and engineering organization.
Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.
What the Work Looks Like
A typical week involves: implementing a new attention mechanism from a recent paper, profiling and optimizing a training pipeline that's bottlenecked on data loading, building evaluation infrastructure for a new benchmark, debugging distributed training issues across a GPU cluster, and pair-programming with a research scientist on their latest experiment. The work is deeply technical.
Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.
Skills Required
Strong software engineering fundamentals plus ML knowledge. Python, C++, and CUDA experience are common requirements. You'll need to read papers and turn ideas into working code. Distributed systems experience (especially distributed training) is highly valued. Performance optimization skills separate great candidates from good ones.
Experience with large-scale training infrastructure (FSDP, DeepSpeed, Megatron), GPU programming (CUDA, Triton), and the internals of ML frameworks (PyTorch internals, custom autograd functions) is what makes candidates stand out. The best research engineers can debug issues that span the full stack from GPU memory management to numerical precision to algorithmic correctness.
Strong postings mention the team's recent research, the infrastructure scale, and the specific technical challenges. They often list the research areas you'd support. Look for roles that emphasize both implementation quality and research understanding.
Compensation Benchmarks
Research Engineer roles pay a median of $252,000 based on 457 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($107K) sits 57% below the category median. Disclosed range: $85K to $130K.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and AI Engineering Manager ($251,622). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
SARA Inc AI Hiring
SARA Inc has 3 open AI roles right now. They're hiring across AI/ML Engineer, AI Architect, Research Engineer. Based in Colorado Springs, CO, US. Compensation range: $110K - $180K.
Location Context
Across all AI roles, 6% (531 positions) offer remote work, while 8,478 require on-site attendance. Top AI hiring metros: New York (3,078 roles, $221,000 median); San Francisco (2,646 roles, $261,000 median); Los Angeles (1,486 roles, $210,000 median).
Career Path
Common paths into Research Engineer roles include Software Engineer, ML Engineer, Research Intern.
From here, career progression typically leads toward Senior Research Engineer, Research Scientist, ML Architect.
This is one of the best entry points into AI research without a PhD. Build a strong engineering portfolio with ML projects, contribute to open-source ML frameworks, and demonstrate that you can implement complex ideas correctly and efficiently. The transition to Research Scientist is possible with published first-author work, which some research engineer roles support.
What to Expect in Interviews
Technical screens test both engineering skill and research understanding. Expect coding rounds with performance-critical implementations (GPU optimization, efficient data loading). Be prepared to discuss papers relevant to the team's research area and explain how you'd implement key ideas. System design questions focus on training infrastructure: distributed training, experiment tracking, and compute resource management.
When evaluating opportunities: Strong postings mention the team's recent research, the infrastructure scale, and the specific technical challenges. They often list the research areas you'd support. Look for roles that emphasize both implementation quality and research understanding.
AI Hiring Overview
The AI job market has 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 roles).
Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.
The AI Job Market Today
The AI job market spans 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (4,384) and senior (3,343) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $256,000 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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