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Engine Engineer Jobs (NOW HIRING)

LiquidPiston

Engine Performance Engineer

Suffield, CT · On-site

As Senior Engineer - Performance & Calibration you will be a key contributor to engine performance development activities aimed at bringing LiquidPiston's rotary engines to production. You will work ...

Unbroken Studios

Lead Engine Programmer

El Segundo, CA · On-site

... programmer who is ready for the challenge of producing an AAA title. This role will involve maximizing performance of all console platforms through profiling and optimizing low-level engine code ...

Hogeschool West-Vlaanderen

WI · On-site

$68.51 - $97.05/hr

(Praktijk)lector game engine programming Locatie Campus Kortrijk Weide Barema 316 (praktijklector) of 502 (lector) Tewerkstellingspercentage 100% Afsluitdatum 16/08/2026 contract Contractueel bep ...

Engine

Staff Data Analyst, Engine X

Collaborate with analytics engineering and data engineering to flag data quality issues, validate pipeline outputs, and ensure the underlying data powering Engine X reporting is reliable. * Develop ...

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Engine Engineer information

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$25

$53

$76

How much do engine engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for engine engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

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

To thrive as an Engine Engineer, you need a solid background in mechanical engineering principles, thermodynamics, and combustion, typically supported by a relevant engineering degree. Familiarity with computer-aided design (CAD) software, simulation tools like MATLAB or ANSYS, and industry certifications such as Professional Engineer (PE) licensure are often expected. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills and qualifications are crucial for designing efficient engines, ensuring safety and compliance, and successfully collaborating on complex engineering projects.

What are some common challenges engine engineers face when working on new engine designs?

Engine Engineers often encounter challenges such as balancing performance, efficiency, and emissions requirements while staying within cost and timeline constraints. Integrating new technologies, such as hybrid systems or alternative fuels, can also introduce complexities in design and testing. Additionally, collaborating closely with multidisciplinary teams—including electrical, software, and manufacturing engineers—is essential to ensure compatibility and optimize the overall system. Staying updated with evolving industry standards and regulatory requirements adds another layer of complexity to the role.

What is the difference between Engine Engineer vs Mechanical Engineer?

AspectEngine EngineerMechanical Engineer
Required CredentialsBachelor's in Mechanical, Aerospace, or Automotive Engineering; often requires specific engine-related certificationsBachelor's in Mechanical Engineering; professional engineer (PE) license optional
Work EnvironmentDesign, develop, test engines for vehicles, aircraft, or machinery; often in labs or manufacturing plantsDesign and analyze mechanical systems across industries; work in labs, factories, or offices
Industry UsagePrimarily in automotive, aerospace, and heavy machinery sectorsWidely used across manufacturing, automotive, aerospace, and energy sectors

Engine Engineers focus specifically on designing and testing engines for vehicles and machinery, requiring specialized knowledge of engine systems. Mechanical Engineers have a broader scope, working on various mechanical systems beyond engines. Both roles share similar educational backgrounds but differ in specialization and work focus.

What is an engine engineer?

An engine engineer designs, develops, and tests engines used in vehicles, aircraft, or industrial machinery. They analyze performance data, improve efficiency, and ensure safety standards, often working with CAD software and engine testing equipment. A bachelor's degree in mechanical or automotive engineering is typically required for this role.
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Engine Engineer jobs near you
Infographic showing various Engine Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Research Engineer, LangSmith Engine

LangChain, Inc

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 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.

Apply