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Remote Micro Systems Engineering Jobs in New York

Remote Let's create our future together at The AES Group! About The AES Group The AES Group is a ... We help organizations modernize their technology through cloud, data, AI, engineering ...

New

Security Systems Design Engineer

Monroe, NJ ยท On-site +1

$105K - $130K/yr

... engineering, specifically in access control and surveillance systems * Experience supporting ... New Jersey or New York (HYBRID) Or REMOTE Travel : Some travel to US sites. Compensation & Benefits:

Sr. Platform Engineer (Remote - US)

Manhattan, NY ยท On-site +1

$115K - $157K/yr

The Platform Engineering team builds the systems, tooling, and operational standards that enable ... This position is full-time and fully remote. Candidates must be located in one of the following ...

About the Role As the Systems Engineer for Next Gen VDI, you will own both the cloud infrastructure ... remote compute platform. This is a hands-on engineering role with end-to-end scope: you will design ...

Showing results 21-40

Remote Micro Systems Engineering information

What is the difference between Remote Micro Systems Engineering vs Remote Embedded Systems Engineering?

AspectRemote Micro Systems EngineeringRemote Embedded Systems Engineering
Required CredentialsBachelor's or higher in Micro Systems, Electrical, or Computer Engineering; certifications like IPC or IEEE are commonBachelor's or higher in Electrical, Computer, or Embedded Systems Engineering; similar certifications
Work EnvironmentDesign, develop, and test micro-scale systems remotely, often involving CAD tools and simulation softwareDevelop and integrate embedded software/hardware for devices, often involving firmware and real-time systems
Employer & Industry UsageTech companies, manufacturing, aerospace, and research institutionsConsumer electronics, automotive, medical devices, and industrial automation

Remote Micro Systems Engineering and Remote Embedded Systems Engineering share similar educational backgrounds and work environments. However, Micro Systems Engineering focuses on designing micro-scale hardware, while Embedded Systems Engineering emphasizes software development for embedded devices. Both roles are vital in tech industries and often overlap in skills and tools used.

What are the most commonly searched types of Micro Systems Engineering jobs in New York? The most popular types of Micro Systems Engineering jobs in New York are:
What job categories do people searching Remote Micro Systems Engineering jobs in New York look for? The top searched job categories for Remote Micro Systems Engineering jobs in New York are:
What cities in New York are hiring for Remote Micro Systems Engineering jobs? Cities in New York with the most Remote Micro Systems Engineering job openings:
Infographic showing various Remote Micro Systems Engineering job openings in New York as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

ML Systems Engineer - Fully Remote | Upto $110/hr

Mercor

New York, NY โ€ข Remote

$110/hr

Full-time

Re-posted 10 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: MLOps Engineer (JAX, PyTorch, Pallas/Triton)
Type: Contract
Compensation: $70–$110/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
  • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
  • Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
  • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
  • Hands-on production experience with JAX and/or PyTorch at scale.
  • Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton.
  • Demonstrable career progression.
  • Ability to engage reliably for at least 40 hours/week during weekdays.
  • Strong written communication skills and the ability to explain complex technical decisions clearly.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.