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Performance Engineer Jobs in Edison, NJ (NOW HIRING)

PIM BRANDS LLC

Manufacturing Performance Engineer

NJ · On-site

$85K - $95K/yr

We are looking for a Manufacturing Performance Engineer interested in a career with a top ranked and growing snack company, to join our Operations department at PIM's manufacturing site Somerset, New ...

OVA.Work

Performance Test Engineer

Manhattan, NY · On-site

Work is seeking a Performance Test Engineer to evaluate, analyze, and optimize the performance, scalability, and reliability of applications. The role involves designing and executing performance ...

Polymarket

Lead Web Engineer, Performance

New York, NY · On-site +1

About the Role Polymarket is looking for a Lead Web Performance Engineer to own the speed, efficiency, and scalability of our web platform. You'll set the direction for web performance at Polymarket ...

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Performance Engineer information

See Edison, NJ salary details

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How much do performance engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for performance engineer in Edison, NJ is $62.22, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $70.43 per hour, depending on experience, location, and employer.

What is a performance engineer?

A Performance Engineer is a professional who ensures that software applications and systems run efficiently and meet performance requirements. They analyze, test, and optimize system performance by identifying bottlenecks, conducting load and stress testing, and recommending improvements. Performance Engineers work closely with development and operations teams to ensure that applications can handle expected user loads and deliver a smooth user experience. Their work is crucial in preventing slowdowns, crashes, and other performance-related issues in production environments.

What is performance engineering?

Performance engineering is the development of software solutions for specific business problems. As a performance engineer, your responsibilities are to identify issues, whether for a particular company or an industry, and develop software that directly addresses them. To become a performance engineer, you need a bachelor’s degree in computer science or computer engineering, two to five years of information technology (IT) work experience, and excellent problem solving skills. Organizations like HyPerformix offer professional certifications, like their Enterprise Performance Engineering program, which can significantly boost your qualifications. Your additional job duties include performing routine maintenance and service, experimenting with possible solutions in the test environment, and monitoring system performance.

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

To thrive as a Performance Engineer, you need strong analytical abilities, a solid understanding of software architecture, and experience with load testing and profiling, often supported by a degree in computer science or a related field. Familiarity with tools such as JMeter, LoadRunner, New Relic, and monitoring systems, as well as scripting languages, is typically required. Excellent problem-solving, attention to detail, and effective communication skills help distinguish top performers in this role. These skills and qualities are crucial for identifying system bottlenecks, optimizing performance, and ensuring a seamless user experience.

What are some common challenges performance engineers face when optimizing complex systems?

Performance Engineers often encounter challenges such as identifying bottlenecks in multi-tiered or distributed systems, balancing trade-offs between speed and resource consumption, and ensuring that performance improvements do not compromise system reliability. They frequently work with cross-functional teams, requiring strong communication skills to translate technical findings into actionable recommendations. Staying up-to-date with evolving tools and best practices is also essential, as technology stacks and performance benchmarks continually change.

What is the difference between Performance Engineer vs Software Test Engineer?

AspectPerformance EngineerSoftware Test Engineer
Primary FocusOptimizing system performance, load testing, scalabilityFunctional testing, bug identification, feature validation
Required SkillsPerformance testing tools, scripting, system analysisTest case design, automation, defect tracking
Work EnvironmentDevelopment teams, QA, DevOpsQA teams, development teams
CertificationsPerformance testing certifications (e.g., JMeter, LoadRunner)ISTQB, software testing certifications

Performance Engineers focus on system performance, scalability, and load testing, ensuring applications run efficiently under stress. Software Test Engineers primarily verify functionality and identify bugs. While both roles require testing skills, Performance Engineers specialize in performance metrics and optimization, making their roles complementary but distinct.

How much do performance engineers make in the US?

Performance engineers in the US typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in tools like JMeter or LoadRunner can command higher salaries, often exceeding $150,000.
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What are the most commonly searched types of Performance Engineer jobs in Edison, NJ?

The most popular types of Performance Engineer jobs in Edison, NJ are:

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

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

Performance Engineer jobs near you
Infographic showing various Performance Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 3% Temporary, and 3% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $129,426 per year, or $62.2 per hour.

Machine Leaning Performance Engineer (Inference)

Tower Research Capital

New York, NY • On-site

$200K - $300K/yr

Full-time

PTO

Posted 9 days ago

Job description

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.
Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization.
Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.
At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.
At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
Summary:
As part of Tower Research's Core Engineering team, you will bridge the gap between quantitative research and high-performance production systems, architecting inference pipelines that operate at the physical limits of hardware. Your objective will be to drive the speed, efficiency, and reliability of our ML inference pipelines to their absolute limits, ensuring our predictive models consistently achieve microsecond-level latency.
Responsibilities:
  • Benchmarking & Strategy:
    • Lead the technical evaluation of diverse inference platforms - ranging across CPUs, GPUs, and FPGAs - to guide Tower's infrastructure deployment decisions.
  • System Architecture Optimization:
    • Analyze and enhance execution across deep memory hierarchies to maximize resource utilization and parallel processing. You will assess and resolve memory subsystem and interconnect bottlenecks across the end-to-end inference lifecycle.
  • Infrastructure & Deployment Feasibility:
    • Collaborate with Infrastructure teams to understand thermal, power, and operational constraints of hardware platforms to design inference strategies for our latency-critical trading strategies that fit within those envelopes.
  • GPU Kernel Development:
    • Develop highly optimized kernels and integrate specialized performance libraries to extract maximum computational throughput from the underlying silicon.
  • Model Optimization & Deployment:
    • Implement advanced model reduction techniques (quantization, pruning, distillation) to ensure compact memory footprints and numerical stability. Prioritize optimization for low-latency, event-level inference workloads to meet real-time trading requirements.
  • Cross-Functional Collaboration:
    • Collaborate closely with ML Researchers, HPC Engineers, FPGA Engineers, and Datacenter Engineers to bring to fruition target deployments.

Qualifications:
  • 2+ years of experience optimizing deep learning inference in latency-sensitive or high-throughput production environments, in any domain.
  • ML Frameworks: Deep expertise in lower-level ML framework development (PyTorch/JAX), paired with strong Python/C++ skills and a thorough understanding of mixed-precision computation.
  • Kernel Development & Optimization Tooling: Proven experience in custom GPU kernel development. Deep familiarity with advanced optimization libraries and compilers (e.g., Triton, TensorRT, ONNX, IREE, HLS4ML, cuBLAS, CUTLASS) as well as profiling tools (e.g., Nsight Systems, Nsight Compute).
  • GPU Architecture Mastery: Deep expertise in GPU microarchitecture, encompassing SM execution, warp scheduling, and full memory hierarchy optimization (registers to HBM).
  • Cross-Architecture Benchmarking: Proven record of rigorous, data-driven approach to evaluating inference performance across heterogeneous compute architectures.
  • Bonus: Practical experience targeting and optimizing inference workloads on specialized hardware ecosystems, including FPGAs and ASICs.
  • Prior experience in financial trading is not required.

Anticipated annual base salary range $200,000-$300,000, plus eligible for discretionary bonus.
Tower's headquarters are in the historic Equitable Building, right in the heart of NYC's Financial District and our impact is global, with over a dozen offices around the world.
At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive - without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.
Our benefits include:
  • Generous paid time off policies
  • Savings plans and other financial wellness tools available in each region
  • Hybrid working opportunities
  • Free breakfast, lunch, and snacks daily
  • In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
  • Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
  • Volunteer opportunities and charitable giving
  • Social events, happy hours, treats, and celebrations throughout the year
  • Workshops and continuous learning opportunities

At Tower, you'll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work - together.
Tower Research Capital is an equal opportunity employer.

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