Interested in this Research Engineer role at US National Institute of Standards and Technology?
Apply Now →About This Role
Summary
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NIST is seeking an Applied Research Engineer to perform complex calibration and experimental tasks. The role involves ensuring traceability of measurements and adherence to laboratory standards and metrology requirements. This position will focus on developing systems for measuring and calibrating to support calibration services and research initiatives.
This notice is issued under direct\-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates.
Learn more about this agency
This job is open to
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### The public
U.S. Citizens, Nationals or those who owe allegiance to the U.S.
### Career transition (CTAP, ICTAP, RPL)
Federal employees whose job, agency or department was eliminated and are eligible for priority over other applicants.
### Clarification from the agency
U.S. Citizens
Duties
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As an Applied Research Engineer, this role focuses on maintaining and enhancing flow and liquid volume measurement and calibration systems.
The Candidate will:
- Develop and implement automated data acquisition systems.
- Analyze calibration and experimental data.
- Design, develop, and operate experimental flow systems, utilizing Computational Fluid Dynamics (CFD) and other analytical tools to support experimental design, data interpretation, and system analysis.
- Plan and execute complex calibration and experimental activities, ensuring measurement traceability, data integrity, and compliance with laboratory quality requirements and metrology standards.
Requirements
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### Conditions of employment
- U.S. citizenship
- Males born after 12\-31\-59 must be registered for Selective Service
- Suitable for Federal employment
- Bargaining Unit Position: No
### Qualifications
BASIC REQUIREMENTS:
A. Degree: Engineering. To be acceptable, the program must:
- lead to a bachelor's degree in a school of engineering with at least one program accredited by ABET; or
- include differential and integral calculus and courses (more advanced than first\-year physics and chemistry) in five of the following seven areas of engineering science or physics:
- statics, dynamics
- strength of materials (stress\-strain relationships)
- fluid mechanics, hydraulics
- thermodynamics
- electrical fields and circuits
- nature and properties of materials (relating particle and aggregate structure to properties)
- and any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics.
OR
B. Combination of education and experience \- college\-level education, training, and/or technical experience that furnished (1\) a thorough knowledge of the physical and mathematical sciences underlying engineering, and (2\) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following:
Professional registration or licensure * \- Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration. For example, an applicant who attains registration through a State Board's eminence provision as a manufacturing engineer typically would be rated eligible only for manufacturing engineering positions.
Written Test * \- Evidence of having successfully passed the Fundamentals of Engineering (FE) examination or any other written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico.
Specified academic courses * \- Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and that included the courses specified in the basic requirements under paragraph A. The courses must be fully acceptable toward meeting the requirements of an engineering program as described in paragraph A.
Related curriculum * \- Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. Ordinarily there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering\-type experience, e.g., in interdisciplinary positions. (The above examples of related curricula are not all\-inclusive.)
IN ADDITION TO THE BASIC REQUIREMENTS:
Applicants must also have 1 year (52 weeks) of specialized experience equivalent to at least the GS\-9 (ZP\-II at NIST) level. Specialized Experience is defined as:
- Conducting flow metrology measurements and calibrations
- Applying principles of measurement traceability and analysis
- Performing technical data acquisition and analysis
OR
Master's or equivalent graduate degree as defined in the basic requirements.
OR
A combination of graduate education and specialized experience as defined in the additional requirements.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The qualification requirements in this vacancy announcement are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook.
If requesting reconsideration of your qualification determination, please refer to the following site: Applicant Reconsideration
### Education
This position has an education requirement. Transcripts must be submitted to validate that the education requirement has been met. Unofficial transcripts will be accepted in the application package. However, an official copy will be required before a final offer of employment.
Use of foreign education for qualifications. An accredited organization must evaluate education completed outside of the U.S. to ensure that it is comparable to education received in accredited institutions in the U.S. Click here to view a listing of accredited organizations from the Department of Education's website. A copy of the foreign education evaluation (containing the results with course\-by\-course listing) is required with your application.
### Additional information
This position is covered under NIST's Alternative Personnel Management System (APMS), a pay\-for\-performance system with excellent HR flexibilities to help NIST recruit and retain top talent. Learn more about the APMS here!
- We may share your application package with other selecting officials. Additional selections may be made through this vacancy.
- Click all links in this vacancy announcement to view additional information or instructions.
- You MUST select at least ONE ELIGIBILITY to be considered for this position.
- All documents submitted for this announcement must be legible to make qualification or eligibility determinations.
- A probationary period may be required.
NIST strives to build a flexible and encouraging work environment to bring out the best in our employees. To help our employees balance responsibilities at home and at work, NIST offers a variety of work\-life flexibilities. For more information, please visit our Careers website.
Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
========
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full\-time, part\-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
How you will be evaluated
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You will be evaluated for this job based on how well you meet the qualifications above.
Please prepare a resume that is no longer than two pages; only the first two pages will be considered during the review process. Ensure your font is 11 points or larger and upload your resume as a .pdf document. This helps ensure your formatting looks exactly the way you intended.
How you will be evaluated: You will be evaluated for this job based on how well you meet the qualifications above. Once the announcement has closed, a review of your resume and supporting documentation will be used to determine whether you meet the qualification requirements listed in this announcement. Overstating your qualifications and/or experience in your application materials or application questionnaire may result in your removal from consideration.
Subject Matter Experts (SMEs) may be used to review your resume to determine your technical qualifications for this position based on the required specialized experience. SMEs will review ONLY two (2\) pages of your resume. SMEs will not review additional information beyond your resume.
Applications will be assessed on the following competencies:
- Quality Management
- Research
- Technical Competence
Referral: All applicants may be referred to the selecting official for consideration. Under Direct Hire Authority, applicants are not rated and ranked, and veteran preference does not apply.
CTAP or ICTAP eligibility: If you are a displaced or surplus Federal employee eligible for the Career Transition Assistance Plan (CTAP) or Interagency Career Transition Assistance Plan (ICTAP), you must be determined eligible and rated as well\-qualified to receive special selection priority. "Well Qualified" means that in addition to meeting the minimum qualification requirements and selective placement factor(s), if applicable, you must receive a score of 85 or higher. Please review the following site regarding required documents to support CTAP or ICTAP eligibility and additional information regarding this authority \- CTAP/ICTAP Eligibility
Required Documents
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The documents required may vary based on how you're applying (i.e., as a veteran or disabled veteran, current or former Federal employee, etc.). Please review the Required Documents for this position to find out if there are any documents required with your application. Failure to submit required documents, based upon how you apply, may result in loss of consideration due to an incomplete application package.
A complete application includes: 1\) A resume (not to exceed two pages), 2\) vacancy question responses regarding technical qualifications, and 3\) submission of any required documents. Please note that if you do not provide all required information, as specified in this announcement, or if the documents submitted are illegible you may not be considered for this position (or may not receive the special consideration for which you may be eligible).
Resume: All applicants must submit a resume by creating one in USAJOBS or uploading one of their choosing. Please prepare a resume no longer than 2 pages; only the first 2 pages will be considered during the review process. Ensure your font is 11 points or larger and upload your resume as a .pdf document. This helps ensure your formatting looks exactly the way you intended. Cover letters are optional. To receive any credit for relevant experience, please list the month/year and the number of hours worked for experience listed on your resume. We suggest you review the qualification requirements for this position as you may need to customize your resume to ensure that it supports the position qualifications. Please refer to the Resume Guidance on how to build an effective resume.
How to Apply
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Please read the entire announcement and all the instructions before you begin an application. To apply and be considered for this position, you must complete all required questionnaires, assessments, and required documentation as specified in the How to Apply and Required Documents section. The complete application package must be submitted by 11:59 PM (ET) on the closing date of the announcement to receive consideration. The application process is as follows:
- Click the Apply Online button.
- Answer the questions presented in the application and attach all necessary supporting documentation.
- Click the Submit Application button prior to 11:59 PM (ET) on the announcement closing date.
As part of the application process, you will be asked to respond to four narrative questions. While your responses to these questions is not required and will not be scored, we encourage you to thoughtfully address each question. You will be asked to certify that you are using your own words and did not use a consultant or artificial intelligence (AI) such as a large language model (LLM) like ChatGPT or Copilot.
Once your application has been submitted, you will receive a confirmation notification by email. The Human Resources Office will evaluate your application to determine your eligibility for the position. After the evaluation is complete, you will receive another notification regarding the status of your application.
To update your application, including supporting documentation: During the announcement open period, return to your USAJOBS account, find your application record, and click Edit my application. This option will no longer be available once the announcement has closed.
To view the announcement status or your application status: Click on this: USAJOBS Help Center \- How to see your application and job status Your application status page is where you can view your application status, USA Hire assessment completion status, and review your notifications sent by the hiring agency regarding your application.
Need help applying?
- If you are experiencing any difficulties with the online application process (anything after you have clicked the 'Apply Online' button), please contact the Agency Contact listed on this announcement between regular business hours (8:00 a.m. \- 4:00 p.m. ET). If you receive any kind of error message, please be ready to provide a screenshot or, at a minimum, the error message text and number. We will provide you with a technical support number for further assistance if necessary.
- If you are having trouble with USAJOBS (searching for jobs, account password/profile issues, or Resume Builder), please visit the USAJOBS USAJOBS Help Center \- How to.... We regret that we are unable to support any issues with USAJOBS, as this service is not maintained by the NIST.
- If you are experiencing a significant hardship that hinders your ability to apply online, please contact the Agency Contact listed on this announcement prior to the vacancy closing date and during regular business hours to discuss your situation.
### Agency contact information
Mofoluwasho Adewale
Phone
771\-216\-6935
Address
*Sensor Science Division*
*100 Bureau Drive*
*Gaithersburg, MD 20899*
*US*### Next steps
We will update applicant statuses when:
- A qualification determination is made. If found not qualified/eligible, no additional updates will be provided.
- Applications are referred to the selecting official.
- A selection decision has been made.
Please notify us if your contact information changes after announcement's closing date. Also, note that if you provide an inaccurate email address or if your mailbox is full or blocked (e.g., spam\-blocker), you may not receive important communication, which could affect your consideration for this position.
Overview
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Accepting applications
Location
1 vacancy in the following location:
Gaithersburg, MD
No matching locations found.
Work site options
Telework eligible
No
Remote job
No
Relocation expenses reimbursed
Yes—Relocation expenses may be reimbursed according to agency policy.
Salary
$85,447 \- $133,142 per year
Pay scale \& grade
ZP 3
Promotion potential
3
Learn more about pay scale and grade
Pay scale and grade determines the salary of the job.
Work schedule
Full\-time
Travel Required
Not required
Appointment type
Permanent
Occupations and job series
- 0830 Mechanical Engineering
Supervisory status
No
Federal service type
This job is in the Competitive Service
Represented by a union
No
Drug test
No
Security clearance
Not Required
Position sensitivity and risk
Non\-sensitive (NS)/Low Risk
Jobs require a background check and some require a security clearance. The type depends on the job.
Background check type
- Suitability/Fitness
Financial disclosure required
No
Some jobs require financial disclosure to identify conflicts of interests.
Announcement number
PML\-685\-26\-13031686\-DH
Control number
879964000
Salary Context
This $85K-$133K range is in the lower quartile for Research Engineer roles in our dataset (median: $207K across 63 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 4,317 AI roles we're tracking, Research Engineer positions make up 2% of the market. At US National Institute of Standards and Technology, 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 in Demand for This Role
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 $272,100 based on 227 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $194,400. This role's midpoint ($109K) sits 60% below the category median. Disclosed range: $85K to $133K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and AI Engineering Manager ($244,000). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
US National Institute of Standards and Technology AI Hiring
US National Institute of Standards and Technology has 1 open AI role right now. They're hiring across Research Engineer. Based in Gaithersburg, MD, US. Compensation range: $133K - $133K.
Location Context
Across all AI roles, 15% (635 positions) offer remote work, while 3,657 require on-site attendance. Top AI hiring metros: New York (1,650 roles, $220,000 median); San Francisco (1,335 roles, $265,000 median); Los Angeles (708 roles, $214,112 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 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 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 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). 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 (138) are outnumbered by mid-level (2,071) and senior (1,655) 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 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 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 $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. 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 $287,500 median, while Prompt Engineer roles sit at $145,000. 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 (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 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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