Jobs in the United States

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Hardware Engineer
Actalent
Logansport, IN
- $80,000 to $120,000 USD / year
Job Title: Hardware EngineerJob DescriptionThis role is an experienced electrical hardware engineering position focused on the design, development, and release of electronic hardware. You…
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Applications/sales Engineer
Actalent
Cudahy, WI
Job Title: Applications / Sales EngineerJob DescriptionThe Applications / Sales Engineer provides specialized technical expertise to support the Inside Sales Desk in preparing accurate…
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Quality Engineer II
Actalent
Cudahy, WI
- $45 to $60 USD / hour
Job Description: Quality Engineer IIThis Quality Engineer II role focuses on driving robust quality processes within a fast-growing manufacturing environment that produces switchgear,…
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Cad Designer
Actalent
Racine, WI
Job Title: CAD DesignerJob DescriptionThe CAD Designer produces highquality 3D and 2D drawings to support engineering projects, sales, procurement, and manufacturing. This role focuses on…
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Principal Cybersecurity Analyst (Attack Surface Mgt.) On Site MN
UnitedHealth Group
Columbia, MD
- $112,700 to $193,200 USD / year
…resiliency, vulnerability mitigation, and securing all aspects of our systems and data globally. We are passionate about protecting the sensitive data of our members and providers. We are…
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Mechanical Engineer
Actalent
Warrenville, IL
- $40 to $55 USD / hour
We are seeking a Mechanical Engineer to design and develop electromechanical products from concept through manufacturing. This role combines mechanical design, electronics integration,…
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Quality Assurance Engineer
Actalent
Chanhassen, MN
- $95,000 to $120,000 USD / year
Job Title: Quality Assurance EngineerJob DescriptionThe Quality Assurance Engineer plays a critical role in developing, implementing, and maintaining robust quality assurance processes…
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Manufacturing Engineer
Actalent
Rochester, MN
- $38 to $55 USD / hour
Job Title: Manufacturing EngineerJob DescriptionThis Manufacturing Engineer role takes full ownership of manufacturing activities, leading products from prototype through pilot and full…
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Firmware Engineer
Booz Allen Hamilton_United States
Warner Robins, GA
As a firmware engineer, you know how to design and build low-level software that directly controls electronic hardware. You will directly apply your knowledge to design, develop, and…
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System Engineer
Booz Allen Hamilton_United States
Tinker AFB, OK
…understand your customer’s environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral…
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Datalink Engineer
Booz Allen Hamilton_United States
Warner Robins, GA
As an electrical engineer, you understand the workings behind complex systems. Datalink engineers work at the junction of communications engineering and systems integration and that…
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Embedded C++ Software Engineer
Booz Allen Hamilton_United States
King George, VA
At Booz Allen, you’ll use your engineering skills to transform the Navy. Our team designs and develops advanced weapon systems for use in complex environments. That’s why we need an…
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Systems Engineer, Senior
Booz Allen Hamilton_United States
Indian Head, MD
Serve as a systems engineer supporting U.S. Navy munition and energetic programs, providing technical leadership throughout the system development lifecycle to meet technical objectives for…
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Test Engineer Intern
Booz Allen Hamilton_United States
Lexington Park, MD
…customer's requirements, and how to help develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of…
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Platform and Data Engineer
Booz Allen Hamilton_United States
Honolulu, HI
As a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry.…
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Cloud Solutions Architect
Booz Allen Hamilton_United States
Fayetteville, NC
As an experienced engineer, you know how to design, develop, and deliver production-grade agentic AI systems that demonstrate the practical value of generative AI, large language models…
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Directed Energy Systems Engineer, Senior
Booz Allen Hamilton_United States
King George, VA
As a systems engineer on our team, you have the chance to deliver products and services to government clients in the directed energy field. You will work on complex technical problems,…
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Data Engineer, Mid
Booz Allen Hamilton_United States
Aurora, CO · Alexandria, VA
As a data engineer at Booz Allen, you’ll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most…
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CO
Public Works Project Manager AF
City of Rio Rancho
Rio Rancho, NM
- $30.87 to $38.59 USD / hour
…construction projects including professional and technical engineering, architectural or landscape architectural services and activities, construction management, capital project fiscal…
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Principal Software Engineer, VP
Charles River Systems Inc MA
United States
- $120,000 to $202,500 USD / year
We are seeking a Principal Software Engineer (Vice President) with deep Java expertise to serve as a recognized technical authority within Charles River Development (a State Street…
Added 1 min ago
Senior Software Engineer
Bigbear.ai
UNAVAILABLE
BigBear.ai is seeking a Senior Software Engineer to support the development team in modernizing the ORION Decision Support Platform - the DoW’s enterprise system for global force-readiness…
Added 1 min ago
CAD Operator
ERCO Worldwide
North Kingstown, RI
…documentation for IDI generator equipment and maintains the engineering parts library and CAD standards. Also provides overflow CAD support to Corporate Engineering as capacity…
Added 2 mins ago
IT Cloud Engineer, Engineering Platform Automation
Mayo US
Rochester, MN
The IT Cloud Engineer – Engineering Platform Automation is responsible for designing, developing, operating, and continuously evolving Mayo Clinic's Engineering Front Door - a cloud-native…
Added 2 mins ago
GI
Forward Deployed Engineer
Globality, Inc.
Palo Alto, CA
- $100,000 to $200,000 USD / year
As a Forward Deployed Engineer at Globality, you will help enterprise procurement teams realize the full value of Glo by running it inside their own systems and aligning it to their own…
Added 2 mins ago
SAP NS2 Senior Cloud Security Engineer-TS/SCI + poly Onsite - Chantilly, VA
SAP
Herndon, VA
The NS2 Senior Cloud Security Engineer candidate will be responsible for leading the development of a stand-alone implementation of SAP Products and solutions that meet our client’s complex…

Gauntlet

Research Engineer

Remote, United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

The role

Gauntlet is looking for an AI Research Engineer to help improve how we build, evaluate and use AI agents across the business.

We already have agents running in production, including Aria, our in-house generalist agent. They're used across research, engineering and business workflows, and we've learned a lot from seeing how they perform in practice. Some tasks work extremely well; others produce inconsistent results, and changes to models or tooling can introduce unexpected problems. Today, much of that feedback is still subjective. We want to build a more systematic way of understanding what works, what doesn't and why.

A major part of this role will be building the evaluation frameworks that allow us to measure agent performance on real tasks. You'll work with our engineers, quantitative researchers and other teams to understand where agents struggle, turn those observations into measurable experiments, and use the results to improve the systems we're building.

You'll also contribute directly to our existing agents and internal tooling. Initially, the work will be more engineering-focused as you get familiar with our systems, shipping improvements and integrations that teams can use. Over time, you'll take on more open-ended research, helping us develop better approaches to evaluation, agent behaviour and infrastructure.

We're also thinking beyond individual agents. One of our longer-term goals is to build a shared system of knowledge and reusable skills that our agents can draw from and improve over time. You'll play an important role in developing that infrastructure and how we evaluate its effectiveness.

This is an applied research role with a meaningful engineering component. We're looking for someone who enjoys investigating difficult problems, can design good experiments and is comfortable building and shipping the solutions that come out of them.

About Gauntlet

Gauntlet builds the financial systems of the future. While much of onchain finance is focused on point solutions, we operate across the entire stack to offer best-in-class vault products. Today we serve over $1.7B in client TVL across some of the largest fintechs/neobanks, protocols, exchanges, and capital allocators in crypto - and, increasingly, traditional asset management. Our team brings together traditional finance and crypto-native expertise to deliver durable, sophisticated products for institutional clients moving onchain.

Why this role is different This is an opportunity to work at the intersection of AI, quantitative research and DeFi, tackling problems where advances in AI can have a direct impact on financial markets and onchain strategies.

You'll go beyond building individual agents, helping define how they're evaluated, how they learn from real-world tasks and how their capabilities scale across the business. With few established benchmarks in this space, you'll have the freedom to explore new approaches and take your ideas from research through to production, working directly with the teams putting them to use.

What you'll do;

Build evaluation frameworks for AI agents, including datasets, sandbox environments and metrics that measure performance on real-world tasks.
Design experiments to compare models, agent harnesses, tools and execution environments, identifying regressions and understanding the trade-offs between performance, reliability and cost.
Work with teams across Gauntlet to turn qualitative feedback about agent behaviour into concrete research questions, experiments and measurable outcomes.
Investigate agent failures, understand whether problems come from the model, harness, tooling or prompting, and develop ways to improve performance.
Build and improve agent harnesses, internal tools and integrations, including contributing to Aria and other agents used across the business.
Help develop shared knowledge and reusable skills across agents, creating systems that can learn from previous work and improve over time.
Work alongside Infrastructure and Security to ensure agents can operate reliably and safely within our production environment.

What we're looking for;

Hands-on experience building, evaluating or improving LLM models or agents, whether through professional work, applied research, open-source contributions or substantial personal projects.
Strong Python skills and good software engineering fundamentals. You're comfortable writing production-quality code and understand the importance of testing, maintainability and reliability.
Experience with applied research, machine learning or data science, including designing experiments, working with datasets and drawing conclusions from results.
A good understanding of how LLM agents work beyond prompting, including tool use, harnesses, context management and common failure modes.
The ability to take an open-ended problem, break it down into testable questions and work independently towards a solution.
Experience building tools or systems that other people use, with an understanding of how to evaluate their effectiveness beyond technical benchmarks.
Comfort working across research and engineering, collaborating with different teams and adapting as priorities change.
Genuine interest in AI agents and how they can be made more capable, reliable and useful.

Nice to have;

Experience building LLM evaluation pipelines, benchmarks, reinforcement learning environments or model testing infrastructure.
Contributions to open-source agent frameworks, harnesses, evaluation datasets or benchmarks.
Experience with agent frameworks such as Hermes, OpenClaw or similar tools.
Experience in applied ML research, model training, fine-tuning or reinforcement learning.
An advanced degree or postgraduate research experience in computer science, mathematics, statistics, machine learning or a related field.
Experience in financial markets, quantitative research, DeFi or risk modelling.
Familiarity with AI security considerations, including access controls, prompt injection and data protection.

You don't need prior experience in crypto or DeFi. Strong research and engineering fundamentals matter more, and you'll work closely with people across Gauntlet who understand the financial systems and strategies our agents support.

We expect strong candidates to have experience working in a professional engineering or research environment, but we're more interested in what you've built and how you approach problems than a specific number of years on your CV.

Benefits & Perks;

• Remote first - work from anywhere in the United States

• Regular in-person company retreats and cross-country "office visit" perk

• 100% paid medical, dental, and vision premiums for employees

• $1,000 WFH stipend

• Monthly reimbursement for home internet, phone, and cellular data

• Unlimited vacation

• 100% paid parental leave of 12 weeks

• Fertility benefits

• Opportunity for incentive compensation

Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.

The national pay range for this role is $175,000 - $195,000 base plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.

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Skills

Research
Python
Machine learning
Work independently
ML
Computer science
Statistics
Financial markets
Data protection

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