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Rust Programming Jobs in New Jersey (NOW HIRING)

慨正橡扯

Lead Software Engineer

Jersey City, NJ · On-site

$130 - $160/hr

  • Medical

  • Retirement

As a Lead Software Engineer at JPMorganChase within the Markets Org, you are an integral part of an ... Drives roadmap decisions on the C++/Rust â WebAssembly engine, Apache Arrow integration, custom ...

J.P. Morgan

Lead Software Engineer

Jersey City, NJ · On-site

  • Medical

  • Retirement

... Engineer at JPMorganChase within the Markets Org, you are an integral part of an agile team that ... Drives roadmap decisions on the C++/Rust â WebAssembly engine, Apache Arrow integration, custom ...

ASRC Federal Holding

Principal Platform Engineer

Moorestown, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Principal Platform Engineer, you will evolve secure, automated platforms powering an upstream ... Experience with automation or development in C++, Rust or equivalent We invest in the lives of our ...

Stanford Health Care

DevOps Engineer

Newark, NJ · Remote

$79.21 - $104.97/hr

Solid programming skills in languages such as Python, Rust or Go and experience in scripting and automation. * Familiarity with machine learning frameworks and libraries such as PyTorch, Tensorflow ...

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Rust Programming information

See New Jersey salary details

$45.2K

$71.9K

$100.5K

How much do rust programming jobs pay per year?

As of Aug 18, 2026, the average yearly pay for rust programming in New Jersey is $71,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $89,800.00 per year, depending on experience, location, and employer.

What is a Rust programming job?

A Rust Programming job involves designing, developing, and maintaining software applications using the Rust programming language. Rust is known for its performance, memory safety, and concurrency features, making it popular for systems programming, web services, and embedded systems. Developers in this role typically work on optimizing performance, ensuring code safety, and integrating Rust with other technologies. Experience with Rust’s ownership model, concurrency features, and ecosystem tools like Cargo is often required.

What are some typical challenges faced by professionals working in Rust programming roles?

Professionals in Rust Programming roles often encounter challenges such as mastering the language's strict ownership and borrowing rules, which require a deep understanding of memory safety concepts. Additionally, working with complex, performance-critical systems demands close attention to detail and rigorous testing practices. Collaboration with team members, especially when integrating Rust code with projects in other languages or legacy systems, also presents opportunities for problem-solving. Over time, these challenges help developers build robust, scalable solutions and deepen their expertise in cutting-edge systems programming.

What are the key skills and qualifications needed to thrive in the Rust programming position, and why are they important?

Excelling in Rust Programming requires strong programming skills in Rust, understanding of systems programming concepts, and experience with memory management and concurrency. Familiarity with version control tools like Git, issue tracking systems, CI/CD pipelines, and optionally, certifications such as the Rust Programming Certificate, are often valuable. Problem-solving ability, collaboration, and clear communication are essential soft skills for success in team-based development environments. These skills and qualifications are vital because they ensure code safety, performance, and contribute to efficient, high-quality software development.

Are Rust programmers in demand?

Rust programmers are increasingly in demand due to the language's focus on safety, performance, and concurrency, especially in systems programming, embedded systems, and WebAssembly development. Companies in technology, finance, and gaming are actively hiring Rust developers to build reliable and efficient software solutions.

Can I learn Rust programming in 3 months?

Rust programming is a complex language that typically requires several months of dedicated study to achieve proficiency, especially for those new to systems programming. Learning core concepts such as ownership, borrowing, and concurrency can be feasible within three months with consistent practice, but mastering advanced topics and writing production-quality code usually takes longer. For job roles involving Rust, employers often expect a solid understanding of the language and related tools like Cargo and Rustup, which may require ongoing learning beyond initial months.

What are the most commonly searched types of Rust Programming jobs in New Jersey?

The most popular types of Rust Programming jobs in New Jersey are:

What are popular job titles related to Rust Programming jobs in New Jersey?

For Rust Programming jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Rust Programming jobs in New Jersey look for?

The top searched job categories for Rust Programming jobs in New Jersey are:

What cities in New Jersey are hiring for Rust Programming jobs?

Cities in New Jersey with the most Rust Programming job openings:

Rust Programming jobs near you
Infographic showing various Rust Programming job openings in New Jersey as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $71,936 per year, or $34.6 per hour.

AI/ML & Analytics Platform Engineering in Plainsboro Township, NJ

GD Resources

Plainsboro, NJ • On-site

Full-time

Re-posted 20 hours ago

Job description

Location: Hybrid – Plainsboro Township, NJ - Onsite - Locals required
Employment Type: Permanent
Industry: Pharmaceutical / Biotech Required
Compensation: $110,000 – $145,000 base + STI & LTI
Relocation: Not available

Position Overview

We are seeking an experienced AI/ML & Analytics Platform Engineer to design, build, and scale enterprise-grade platforms that enable Machine Learning Engineers, ML Researchers, Data Scientists, and Data Analysts to develop, deploy, and operationalize advanced analytics solutions.

This role focuses on platform engineering and distributed systems, not purely model development. The ideal candidate will have strong systems engineering expertise and experience building scalable, high-performance infrastructure to support AI/ML workloads.

Key Responsibilities

  • Design and build scalable AI/ML and analytics platforms.

  • Develop infrastructure and tooling to support ML experimentation, training, deployment, and monitoring.

  • Enable self-service capabilities for ML Engineers, Data Scientists, and Analysts.

  • Architect and optimize distributed computing solutions for large-scale data processing.

  • Collaborate cross-functionally with research, engineering, and analytics teams.

  • Ensure performance, reliability, and scalability of ML systems in production environments.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, Operations Research, or a related quantitative field.

  • 5+ years of experience in software engineering, platform engineering, or related roles.

  • Proven experience building AI/ML or analytics platforms.

  • Strong experience with at least one strongly typed programming language (e.g., C/C++, Java, Go, Rust).

  • Experience working with distributed systems and large-scale data processing frameworks (e.g., Ray, Dask, Spark).

  • Experience supporting ML or analytics workloads in production environments.

Preferred Qualifications

  • Prior experience in the pharmaceutical or biotech industry.

  • Experience with high-performance computing environments (e.g., Slurm).

  • Experience designing and operating large-scale distributed systems.

  • Familiarity with regulated environments and data governance considerations.

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