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Remote Systems Engineer Jobs in Union, NJ (NOW HIRING)

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and improve AI model performance in systems-level optimization, compiler ...

Enterprise Solutions Engineer, Channel

New York, NY ยท On-site +1

$117K - $145K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Evolved from a technical background (e.g., TAM, support, systems engineer), with practical insight ...

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 ...

Showing results 41-60

Remote Systems Engineer information

See Union, NJ salary details

$54.5K

$129.6K

$170.2K

How much do remote systems engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote systems engineer in Union, NJ is $129,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $160,000.00 per year, depending on experience, location, and employer.

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.

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.

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.

What are the most commonly searched types of Systems Engineer jobs in Union, NJ?

The most popular types of Systems Engineer jobs in Union, NJ are:

What are popular job titles related to Remote Systems Engineer jobs in Union, NJ?

For Remote Systems Engineer jobs in Union, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Systems Engineer jobs in Union, NJ look for?

The top searched job categories for Remote Systems Engineer jobs in Union, NJ are:

What cities near Union, NJ are hiring for Remote Systems Engineer jobs?

Cities near Union, NJ with the most Remote Systems Engineer job openings:

Infographic showing various Remote Systems Engineer job openings in Union, NJ as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 100% Remote job distribution, with an average salary of $129,636 per year, or $62.3 per hour.

AI Systems & ML Engineering Industry Expert

TripleTen

New York, NY โ€ข On-site, Remote

Part-time

Posted 7 days ago


Job description

Description
TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners - people with no prior tech background - through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.
We're launching three advanced engineering programs for working mid/senior engineers, and we're looking for a small number of Industry Experts to set the technical bar in each of them.
This is not a teaching or content-authoring role. The curriculum is built by a separate team of senior authors. What we need from you is judgment: the kind of call a Staff or Principal engineer makes when they look at a design and know, in thirty seconds, that the service split is wrong, the eval is measuring the wrong thing, or the scope will not survive contact with a client.
Our students design and defend real systems. Your role is to challenge those decisions the way you'd challenge a peer's - and to be the name that tells an experienced engineer this program is worth their time.
The audience
Working mid- and senior-level engineers, typically 5-10 years in: backend, platform, ML, and infrastructure people, with senior and staff titles and the occasional engineering manager in the room. Many write production code daily. They are not career changers, and they spot shallow feedback instantly. The bar here is real seniority, not familiarity with the topic.
What you will do
  • Sit on final project defenses. Review a deployed system, a distributed-systems capstone, an agentic architecture, or a client-facing delivery package against the rubric - then run the defense and give structured, senior-level critique.
  • Chair mock review boards and executive-panel presentations. Architecture review boards, model and system reviews, exec go/no-go presentations, depending on the program.
  • Host one or two live sessions a month on the design and decision layer of your domain: where systems split, how they fail, which tradeoff to make and why.
  • Set the technical standard for the instructors running weekly delivery, and act as their escalation point on the hard design calls.

You are not on the hook for weekly coverage, office hours rotations, or first-line questions. A separate team handles that.
Requirements
  • 8+ years of professional engineering experience, currently at senior/staff/principal level or equivalent (Staff/Principal Engineer, Senior/Staff ML Engineer, Solutions Architect, Forward Deployed Engineer, technical lead).
  • You've shipped systems that run in production at real scale, as an employee in an engineering role - not coursework, not side projects, not a slide deck about someone else's platform.
  • You can explain why a decision was made, not just how it was implemented - and diagnose and critique someone else's architecture live, on a call, without preparation.
  • A public technical footprint: GitHub, conference talks, a book or O'Reilly/Manning title, a technical blog, open-source work, or documented mentorship.
  • Strong English (C1+). Sessions and written reviews are in English for a US-based audience.
  • Time zone: Americas strongly preferred (US / Canada / LatAm). Defenses are booked in advance, so some flexibility exists - but sessions land in US afternoon and evening hours.
  • Comfortable using AI tools in day-to-day technical work.

Domain depth - one of three tracks
You don't need all three. Tell us which one is yours.
AI/ML Engineering. Agentic systems and orchestration (LangChain, LangGraph, CrewAI, ADK), agent reliability and guardrails, MCP; LLM evals - eval harnesses, LLM-as-judge, hallucination metrics; applied fine-tuning (SFT/LoRA/PEFT); LLM observability, A/B experiment design, model serving and inference cost.
AI Systems Engineering. System and API design, service architecture, cloud and infrastructure (AWS, Kubernetes, Terraform, CI/CD), distributed systems, observability and incident response - plus LLM-powered systems in production: RAG, model serving, fallback paths, cost control.
Forward Deployed Engineering. End-to-end ownership of deployments in real client or enterprise environments: discovery and scoping under ambiguity, stakeholder management without formal authority, integration with enterprise systems, rollout and adoption - on top of LLM and agent systems in production, RAG over enterprise data, and APIs/integrations.
Nice to have
  • You've already run technical sessions in some form: internal tech talks, conference workshops, engineer onboarding, or mentoring.
  • Hands-on ownership of an eval or observability stack in production, not just usage of one.
  • Experience being the primary technical resource embedded with a customer team (for the FDE track).

What we can offer you
  • Your name and profile featured as an Industry Expert on the program page.
  • A peer-level audience. A defense is a technical review with a working engineer, not homework grading.
  • A genuinely small commitment. 4-10 hours a month, slots booked about two weeks ahead, pausable at any time.
  • Hourly payment, negotiable depending on experience, track, and scope.
  • Fully remote, with a small international team and no micromanaging.