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Remote Engine Performance Engineer Jobs in New York

10a Labs

MLOps / Infrastructure Engineer

Manhattan, NY · Remote

$130K - $230K/yr

... Remote | High-Impact About the Role: We're looking for an infrastructure-focused engineer who ... Understands performance tradeoffs in serving models and embedding search pipelines. * Can work ...

Mercor

Film Critic

New York, NY · Remote

$70 - $150/hr

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... Work independently and asynchronously to meet deadlines while improving AI model performance

Career Renew

Web Engineer

New York, NY · Remote

$170K - $220K/yr

... O principles and best practices--especially around performance, accessibility, and search ... Remote position * Various benefits * Will get to have continued ownership around this project and ...

VAST Data

Senior Software Engineer

Manhattan, NY · On-site +1

$134.90K - $177.80K/yr

We are looking for a talented Software Engineer to design, build, and optimize the core engine of our high-performance database system. This is a deep, systems-level role focused on the internal ...

Shaped

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

We're a remote team but have a small office in Brooklyn, New York. We are looking for a data ... engine. As one of Shaped's early employees you will help shape our product, culture and vision. We ...

Zocdoc

Staff Software Engineer, Marketplace

New York, NY · On-site +1

*Please note, we are open to remote candidates for this role. Your Impact on our Mission As a Staff ... This includes driving the evolution of our SEO infrastructure, which powers thousands of patient ...

Turnblock.io

Software Engineer Remote (Web3)

New York, NY · Remote

$200K - $250K/yr

... engineers to join them. This is a remote position for any US-based candidate. Our client ... They created the first and only high performance blockchain distribution network (BDN) with the ...

Shaped

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

We're a remote team but have a small office in Brooklyn, New York. We are looking for a data ... engine. As one of Shaped's early employees you will help shape our product, culture and vision. We ...

The New Republic

Front-End Developer

New York, NY · Remote

This is a full-time position and is currently fully remote; however, there are occasional mandatory ... Performance, accessibility, and SEO are first-class concerns * Were actively modernizing our stack ...

Asylum Research

Field Service Engineer I

Manhattan, NY · On-site +1

$90K - $110K/yr

Remote | Northeastern US (NY/NJ area) Frequent weekday travel required; must live near a major ... Keep systems at peak performance - deliver expert preventive and corrective maintenance.

A Free Bird

Back End Developer (Remote)

Manhattan, NY · Remote

Description Back-End Developer (Remote) Django Experience Required Commitment: 5-10 hours per week ... This role focuses on application logic, database design, integrations, and performance -- ensuring ...

Resonance

DevOps Engineer (Mid-to-Senior Level)

New York, NY · Remote

$142.20K - $182.70K/yr

About the Role We're looking for a talented DevOps Engineer to join our remote team and help scale ... Hasura GraphQL engine, Snowflake data warehouse, Looker BI), event streaming (Kafka), and ...

Resonance

DevOps Engineer (Mid-to-Senior Level)

Manhattan, NY · On-site +1

$142.70K - $183.30K/yr

About the Role We're looking for a talented DevOps Engineer to join our remote team and help scale ... Hasura GraphQL engine, Snowflake data warehouse, Looker BI), event streaming (Kafka), and ...

Impiricus

Software Engineer (Full-stack)

New York, NY · On-site +1

$110K - $135K/yr

Atlanta, GA | NYC, NY | Remote, USA Employment Type: Full-time, Salaried Who We Are Impiricus is ... Implement secure, high-performance, and maintainable system designs that can evolve with business ...

Gusto

Staff Software Engineer, Payments / Risk

Manhattan, NY · On-site +1

$163K - $204K/yr

... owning their performance long after launch. That means engineering the core business engine ... Our cash compensation amount for this role is targeted at $163,000-$204,000 in Denver & most remote ...

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Remote Engine Performance Engineer information

What are the key skills and qualifications needed to thrive as a Remote Engine Performance Engineer, and why are they important?

To thrive as a Remote Engine Performance Engineer, you need a strong background in mechanical or automotive engineering, with expertise in engine systems and performance analysis, often supported by a relevant degree. Proficiency with diagnostic software, data acquisition tools, and simulation platforms such as MATLAB or AVL is typically required. Analytical thinking, effective communication, and problem-solving skills are crucial for collaborating remotely and delivering actionable insights. These skills ensure accurate performance optimization and reliable support for engine operations in distributed work environments.

How does a Remote Engine Performance Engineer typically collaborate with on-site teams to optimize engine performance?

As a Remote Engine Performance Engineer, collaboration with on-site teams is crucial for effective diagnostics and optimization. This is usually achieved through regular virtual meetings, sharing real-time data, and utilizing collaborative platforms to review test results and performance metrics. Engineers often work closely with test technicians, design engineers, and project managers to analyze issues, recommend adjustments, and implement improvements. Clear communication and timely feedback are key to ensuring seamless coordination despite the physical distance.

What is a Remote Engine Performance Engineer?

A Remote Engine Performance Engineer is a professional who evaluates, monitors, and optimizes the performance of engines (such as those in automobiles, aircraft, or industrial equipment) from a remote location. They use specialized software and data analysis tools to assess engine efficiency, diagnose issues, and recommend improvements without being physically present with the machinery. This role often involves collaborating with on-site engineers, interpreting telemetry data, and providing guidance to enhance engine reliability and output. Remote Engine Performance Engineers are employed in industries like automotive, aerospace, and energy, where remote diagnostics and performance optimization are crucial.

What is the difference between Remote Engine Performance Engineer vs Remote Powertrain Engineer?

AspectRemote Engine Performance EngineerRemote Powertrain Engineer
Required CredentialsBachelor's in Mechanical or Automotive Engineering, relevant certificationsBachelor's in Mechanical, Automotive, or Electrical Engineering, relevant certifications
Work EnvironmentAutomotive companies, OEMs, R&D labs, remote collaborationAutomotive manufacturers, suppliers, R&D, remote teams
Industry UsageFocuses on engine-specific performance optimizationEncompasses engine, transmission, and hybrid system performance
Search & Comparison IntentPeople comparing engine-specific rolesRoles involving entire powertrain systems

The Remote Engine Performance Engineer specializes in optimizing engine performance, focusing on combustion, efficiency, and emissions. In contrast, the Remote Powertrain Engineer works on the entire powertrain system, including engines, transmissions, and hybrid components. Both roles require similar technical backgrounds and are used in automotive R&D, but they differ in scope and focus.

What cities in New York are hiring for Remote Engine Performance Engineer jobs? Cities in New York with the most Remote Engine Performance Engineer job openings:
Remote Engine Performance Engineer jobs near you

MLOps / Infrastructure Engineer

10a Labs

Manhattan, NY • Remote

$130K - $230K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.
3-8 Years of Industry Experience | Remote | High-Impact
About the Role: We're looking for an infrastructure-focused engineer who thrives at the intersection of machine learning, systems, and product delivery. This is a hands-on role responsible for deploying, monitoring, and scaling a real-time ML-powered content moderation system used to detect and triage abuse, threats, and edge-case language. You'll work closely with ML engineers, researchers, and clients to build infrastructure that makes high-performance models accessible and reliable in the wild.
In This Role, You Will:
  • Design and maintain cloud infrastructure (GCP or AWS) to support real-time model serving, data ingestion, and evaluation workflows.
  • Deploy and optimize APIs for low-latency access to ML models and embedding search systems.
  • Manage and optimize the end-to-end training data flow-from sourcing and cleaning datasets to preparing them for model consumption-ensuring accuracy, scalability, and efficiency.
  • Build observability tooling for production ML pipelines (monitor latency, error rates, request volumes, drift).
  • Automate model deployment, retraining, and evaluation pipelines (CI/CD for ML).
  • Work with ML engineers to package models for serving.
  • Help manage vector databases and semantic search infrastructure (e.g., Pinecone, FAISS, Vertex Matching Engine).
  • Ensure security, compliance, and uptime of infrastructure supporting safety-critical systems.
We're Looking for Someone Who:
  • Has 3-8 years of experience deploying machine learning systems or high-availability backend systems.
  • Has shipped and maintained production infrastructure at scale, supporting ML workflows.
  • Has experience with GCP, AWS, or similar platforms (including managed ML services).
  • Is proficient in Terraform, Docker, Kubernetes, or similar infra tools.
  • Understands performance tradeoffs in serving models and embedding search pipelines.
  • Can work cross-functionally with ML, security, and product teams to deploy safely and iterate fast.
  • Brings a builder's mindset and bias for ownership in ambiguous environments.
Nice to Have Experience With:
  • Experience with vector databases or ANN systems, preferably within GCP (or AWS).
  • Experience serving LLMs or embedding-based models via API.
  • Experience with model monitoring, logging, and metrics platforms (e.g., Prometheus, Grafana, Sentry).
  • Familiarity with trust & safety infrastructure, abuse detection, or policy enforcement systems.
What Success Looks Like in the First 3 Months:
  • You've deployed and monitored a real-time ML inference system with well-defined observability.
  • You've implemented an API with latency under 200ms for embedding or classifier-based inference.
  • You've partnered with ML engineers to streamline deployment and retraining workflows.
  • You've built logging and monitoring that gives insight into system performance and classifier behavior.
Compensation & Benefits:
  • Salary Range: $130K-$230K, depending on experience and location.
  • Bonus: Performance-based annual bonus.
  • Professional Development: Support for continuing education, conferences, or training.
  • Work Environment: Fully remote, U.S.-based.
  • Health Benefits: Comprehensive health, dental, and vision coverage.
  • Time Off: Generous PTO and paid holiday schedule.
  • Retirement: 401(k) plan.

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