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Engine Research Engineer Jobs (NOW HIRING)

Solcoa Industries

Research Engineer

Alameda, CA · On-site

$120K - $175K/yr

The Role - Research Engineer Own difficult, first-principles R&D that unlocks rare-earth metal ... Characterize feed/products with ICP-MS/OES, XRD, SEM/EDS, LECO O/N/H,; close element balances.

SSAB

Research Engineer

Montpelier, IA · On-site

Perform inclusion analyses using optical microscope and SEM/EDS to help develop optimal practices ... Required: * MSc. in Metallurgical Engineering or related discipline * At least two years of ...

Leidos

Research Engineer

Pittsburgh, PA · On-site

$69K - $125K/yr

Leidos is seeking an exceptional and motivated Research Engineer interested in pursuing their ... Experience interpreting XRD, CT and SEM for mineral analysis. * Experience operating a high ...

SSAB

Research Engineer

Montpelier, IA · On-site

... R&D staff, Technical Services, Applications Engineering, and Operations personnel. Main ... Experience in using lab equipment such as polishing machine, optical microscope and SEM/EDS ...

E Ink

Research Engineer

Billerica, MA · On-site

We are seeking a hands-on Research Engineer/chemist in Pigment research to help develop the ... , and X-ray diffraction (XRD). * Experience interpreting analytical data from ICP-OES, ICP-MS ...

E Ink Corporation

Research Engineer

Billerica, MA

We are seeking a hands-on Research Engineer/chemist in Pigment research to help develop the ... , and X-ray diffraction (XRD). * Experience interpreting analytical data from ICP-OES, ICP-MS ...

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How much do engine research engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for engine research engineer in the United States is $72,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $74,000.00 per year, depending on experience, location, and employer.

What is an engine research engineer?

An Engine Research Engineer is responsible for designing, analyzing, and improving engine performance, efficiency, and emissions. They conduct experiments, use simulation tools, and develop new technologies to enhance engine reliability and sustainability. Their work often involves collaboration with automotive, aerospace, or energy industries to optimize fuel consumption and reduce environmental impact.

What are the typical daily responsibilities of an engine research engineer?

Engine Research Engineers routinely design and conduct experiments to test new engine concepts, analyze engine performance data, and develop improvements for efficiency and emissions. They often use simulation software to model engine behavior and interpret results to guide design decisions. Collaboration with other engineers, technicians, and sometimes external partners is a key part of the role, requiring regular meetings and technical discussions. These responsibilities support the ongoing development of cutting-edge engine technologies and help ensure compliance with industry and environmental regulations.

What are the key skills and qualifications needed to thrive as an engine research engineer?

To thrive as an Engine Research Engineer, you need a strong background in mechanical engineering, thermodynamics, and combustion processes, typically with at least a bachelor's degree in engineering. Familiarity with tools such as computational fluid dynamics (CFD) software, engine testing equipment, and data analysis platforms is essential, along with certifications like Six Sigma being a plus. Strong problem-solving skills, attention to detail, teamwork, and effective communication set top candidates apart. These skills are crucial for innovating and optimizing engine designs that meet performance, efficiency, and emissions standards within collaborative R&D environments.

What does an engine research engineer do?

An engine research engineer designs, tests, and analyzes internal combustion or alternative engines to improve performance, efficiency, and emissions. They use tools like computer simulations, laboratory testing, and data analysis, often working in research and development environments and requiring knowledge of thermodynamics and engineering principles.
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Engine Research Engineer jobs near you
Infographic showing various Engine Research Engineer job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $72,500 per year, or $34.9 per hour.

Research Engineer, LangSmith Engine

LangChain, Inc

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team:
The LangSmith Engine team is building a proactive agent engineer that analyzes production traces, identifies important failures, recommends and writes fixes, and helps prevent those issues from coming back. We're building agents that can understand complex software systems and continuously improve the quality of other AI agents.
About the Role:
We're looking for an experienced research engineer to help make the Engine agent more capable and more efficient.
You'll study real agent failures, build benchmarks that capture what matters, run experiments to improve performance, and turn successful ideas into production. This may include prompting and agent-harness improvements, model selection, fine-tuning and post-training custom models. The focus is on measurable improvements to the overall agent.
This role also requires a understanding of production engineering and system-level tradeoffs. Engine is a production system, so improving an agent is not just about maximizing benchmark performance-it also means understanding the impact on cost, latency, reliability, and scalability. You'll work in the same team with production engineers to design, test, and ship improvements that work reliably in real-world environments.
Location: SF and NYC
What You'll Do:
  • Build and maintain benchmarks and evaluations that measure the quality and efficiency of Engine agents on real-world tasks.
  • Design and run experiments to improve agent performance across models, prompting, context, tools, orchestration, and agent strategies.
  • Explore and implement post-training and fine-tuning techniques when they can meaningfully improve agent capabilities, quality, or cost.
  • Turn successful experiments into production improvements, working closely with engineers and researchers to measure impact and prevent regressions.
  • Help define the ML roadmap and technical direction for improving Engine agents, and mentor other engineers through strong technical leadership.

What You'll Bring:
  • 4+ years of experience in ML/AI research, or a closely related field.
  • Master's or Ph.D. in a relevant scientific field.
  • Hands-on experience working with LLMs and AI agents, including analyzing model behavior and improving real-world performance
  • Strong experience designing benchmarks, evaluations, and experiments for AI/ML systems; you know how to tell whether a change actually made an agent better.
  • Strong software engineering skills, with a track record of taking ideas from research prototype to measurable production impact.
  • You have maximum agency and strong research judgment: you can identify high-impact problems, work through ambiguity, move quickly, and communicate your findings clearly.

Nice to Have:
  • Ph.D. in Machine Learning, Computer Science or Physics.
  • Hands on experience with LLM-as-a-judge, automated graders, synthetic data generation, or human evaluation.
  • Hands on experience with reinforcement learning, preference optimization, SFT, RLHF/RLAIF, or other post-training techniques for LLMs.
  • Experience optimizing LLM agents for cost, latency, or task efficiency on productions
  • Experience with model serving, inference optimization, distributed systems, or GPU infrastructure.
Compensation & Benefits
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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