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Cursor Jobs in Edison, NJ (NOW HIRING)

iOS Developer

New York, NY ยท On-site

$56.50 - $78/hr

IO, Cursor (or comparable crash/error monitoring) along with the following dependency managers (Swift Package Manager, Carthage or similar). KEY REQUIREMENTS: Minimum (18) months experience as an iOS ...

.NET Developer

Summit, NJ ยท On-site

$51.25 - $67.75/hr

Use AI-assisted tools such as Cursor and Claude Code for coding, debugging, testing, and documentation. * Apply AI across SDLC phases including requirements, design, development, testing, and ...

iOS Developer

Manhattan, NY ยท On-site

$56.75 - $78/hr

IO, Cursor (or comparable crash/error monitoring) along with the following dependency managers (Swift Package Manager, Carthage or similar). KEY REQUIREMENTS: Minimum (18) months experience as an iOS ...

Senior Frontend Engineer

Manhattan, NY ยท On-site

$134K - $185K/yr

... Cursor and GitHub Copilot to move faster and smarter. Qualifications : Required : โ€ข 5+ years of experience building modern web applications with React.js or similar frameworks. โ€ข Strong ...

The ideal candidate brings practical experience using tools such as Cursor and Claude Code, with a strong understanding of how AI can be embedded across the software development lifecycle to drive ...

IO, Cursor (or comparable crash/error monitoring) along with the following dependency managers (Swift Package Manager, Carthage or similar)

iOS Developer

Manhattan, NY ยท On-site

$56.75 - $78/hr

IO, Cursor (or comparable crash/error monitoring) along with the following dependency managers (Swift Package Manager, Carthage or similar)

Design Expert - Remote

New York, NY ยท On-site +1

$169K - $208K/yr

Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . * Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . * Apply prompt ...

Cursor is building the future of coding . Our AI code editor and agents are just the beginning - we're solving the hardest engineering and design problems in AI automating coding, and making these ...

As a Technical Recruiter at Cursor, you'll be a key driver of our company growth by identifying, engaging, and hiring top technical talent. You will partner closely with hiring managers and cross ...

Senior Full Stack Engineer

New York, NY ยท On-site

$161K - $210K/yr

Build with AI every day -- use Claude Code, Cursor, and others as a core part of your workflow, not an occasional supplement * Own your work end-to-end -- work closely with product and design to ...

Showing results 41-60

Cursor information

See Edison, NJ salary details

$10

$19

$23

How much do cursor jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for cursor in Edison, NJ is $19.69, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $22.31 per hour, depending on experience, location, and employer.

What is the difference between Cursor vs Data Analyst?

AspectCursorData Analyst
Required CredentialsBasic programming knowledge, scripting skillsBachelor's degree in statistics, data science, or related field
Work EnvironmentDatabase management, scripting, backend systemsData interpretation, reporting, business insights
Industry UsageDatabase administration, software developmentBusiness intelligence, marketing, finance

While a Cursor is a programming construct used to iterate over database query results, a Data Analyst interprets data to provide insights. Cursors are technical tools within databases, whereas Data Analysts focus on analyzing and visualizing data to support decision-making.

What are popular job titles related to Cursor jobs in Edison, NJ?

For Cursor jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Cursor jobs in Edison, NJ look for?

The top searched job categories for Cursor jobs in Edison, NJ are:

Infographic showing various Cursor job openings in Edison, NJ as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $40,951 per year, or $19.7 per hour.

Software Engineer, ML Infrastructure

New York, NY โ€ข On-site

$189K - $224K/yr

Full-time

Re-posted 18 days ago


Job description

Engineering โ€ข Full-time โ€ข San Francisco; New York
Apply
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
About the role
The ML Infrastructure team builds large-scale compute, storage, and software infrastructure to support Cursor's work building the world's best agentic coding model. We're looking for strong engineers who are interested in building high-performance infrastructure and the software to support it. This role works closely with ML researchers and engineers to enable their work through improvements to our training framework, systems reliability/performance, and developer experience.
What you'll do
  • Collaborate with ML researchers to improve the throughput and reliability of training
  • Work with OEMs, cloud service providers, and others to plan and build cutting-edge GPU infrastructure
  • Improve the density and scalability of compute environments to enable increasingly large RL workloads
  • Create software and systems to automate building, monitoring, and running GPU clusters
  • Build workload scheduling and data movement systems to support Cursor's growing training footprint

You may be a fit if
  • A strong background in systems and infrastructure-focused software engineering, particularly in Python, Typescript, Rust, and Golang
  • Experience with distributed storage and networking infrastructure, particularly on Linux systems across cloud and bare metal environments
  • Exposure to large-scale systems and their unique challenges, ideally across thousands of nodes with significant resource footprints.
  • Production use of infrastructure-as-code and configuration management, across hosts and Kubernetes

Nice to have
  • Operational exposure to Nvidia GPUs with Infiniband or RoCE, particularly with Blackwell and Hopper-class hardware
  • Exposure to Ray, Slurm, or other common compute and runtime schedulers

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