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Remote Systems Engineer Jobs in New York (NOW HIRING)

TixTrack

Sr. Platform Engineer (Remote - US)

Manhattan, NY · 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 ...

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Remote Systems Engineer information

See New York salary details

$58.5K

$139.2K

$182.7K

How much do remote systems engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote systems engineer in New York is $139,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $171,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote systems engineer, and why are they important?

A Remote Systems Engineer is an IT professional who designs, implements, manages, and maintains computer systems and networks for organizations while working from a remote location. They ensure that systems are reliable, secure, and perform optimally, often troubleshooting issues and deploying updates without being physically present onsite. Remote Systems Engineers typically use remote access tools to monitor systems, collaborate with teams, and provide technical support. Their work is essential for companies with distributed workforces or cloud-based infrastructure.

What does a remote systems engineer do?

The job of a remote systems engineer is to develop, test, and maintain a computer network system for a company. Your duties include implementing updates, handling technical issues (including connectivity issues and VPN setup), performing system administration tasks, documenting changes, preparing reports, and developing new infrastructure as needed. Your responsibilities as a remote systems engineer are to ensure the software system and network connectivity meet the needs of the business environment and provide user support. This is a work from home position that involves coordinating with IT and management.

How does a remote systems engineer typically collaborate with on-site IT teams and other departments?

As a Remote Systems Engineer, you will frequently coordinate with on-site IT staff and cross-functional teams through virtual meetings, project management tools, and shared documentation. Effective communication and clear documentation are crucial, as you may not be physically present to troubleshoot or implement solutions. You can expect to rely heavily on remote access tools and cloud-based platforms to monitor, maintain, and update systems. Building strong relationships with team members and setting clear expectations helps ensure seamless collaboration and project success, even from a distance.
More about Remote Systems Engineer jobs
What are the most commonly searched types of Systems Engineer jobs in New York? The most popular types of Systems Engineer jobs in New York are:
What are popular job titles related to Remote Systems Engineer jobs in New York? For Remote Systems Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Systems Engineer jobs in New York look for? The top searched job categories for Remote Systems Engineer jobs in New York are:
What cities in New York are hiring for Remote Systems Engineer jobs? Cities in New York with the most Remote Systems Engineer job openings:
Remote Systems Engineer jobs near you
Infographic showing various Remote Systems Engineer job openings in New York as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $139,177 per year, or $66.9 per hour.

Software Engineer, Systems ML Engineering

Meta

New York, NY • On-site, Remote

$183K/yr

Full-time

Re-posted 2 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

Meta is seeking a Staff Software Engineer to join the Systems ML Engineering team, focused on building and scaling the infrastructure and software systems that power large-scale machine learning workloads across Meta's production fleet. In this role, you will architect and own critical components of the ML systems stack, spanning training infrastructure, model serving, distributed computing frameworks, and ML platform tooling. You will work at the intersection of systems engineering and machine learning to drive reliability, performance, and efficiency for some of the world's most demanding AI workloads, including large language models and generative AI systems.
Software Engineer, Systems ML Engineering Responsibilities:
  • Design and implement scalable ML systems infrastructure components, including distributed training frameworks, model serving pipelines, and ML platform tooling used across Meta's production AI workloads
  • Lead technical design and architecture for major initiatives in the ML systems stack, evaluating trade-offs across performance, reliability, and engineering complexity
  • Identify and resolve performance bottlenecks in distributed ML training and inference systems through instrumentation, profiling, and targeted optimization
  • Define and drive service level objectives for ML infrastructure services, building dashboards, alerting, and runbooks to reduce mean time to mitigation during incidents
  • Collaborate with machine learning researchers, product engineers, and infrastructure teams to translate model development requirements into robust, production-grade systems
  • Leverage AI-assisted development workflows to accelerate implementation, code review, and system analysis, applying sound judgment on when to rely on AI tooling versus deep domain expertise
  • Mentor other engineers on ML systems best practices, distributed computing patterns, and engineering craft, including AI-native development workflows
  • Drive adoption of engineering standards across the team, including testing strategies, staged rollout practices using feature flagging and experimentation frameworks, and proactive monitoring
  • Contribute to roadmap definition and stakeholder alignment for multi-quarter ML infrastructure investments, communicating technical options and trade-offs to both engineering and cross-functional audiences
  • Conduct thorough code reviews and establish coding standards that improve maintainability and scalability of the ML systems codebase

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in software engineering with a focus on systems software, distributed computing, or ML infrastructure
  • Experience designing and implementing large-scale distributed systems, including components such as training orchestration, model serving, or data pipeline infrastructure
  • Experience with performance analysis and optimization of compute-intensive or distributed workloads, including profiling, benchmarking, and bottleneck identification
  • Experience leading end-to-end delivery of complex technical projects, including cross-team coordination, milestone planning, and risk mitigation
  • Experience with C++, Python, or equivalent systems programming languages applied to production ML or infrastructure systems

Preferred Qualifications:
  • Experience contributing to or maintaining open-source ML systems or distributed computing projects
  • Experience building or operating ML platform services including experiment tracking, model registries, feature stores, or inference serving infrastructure
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with ML frameworks such as PyTorch, including distributed training paradigms such as data parallelism, model parallelism, or pipeline parallelism
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with GPU computing, CUDA programming, or accelerator-aware systems optimization for large-scale AI workloads

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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