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Software Performance Optimization Developer information

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$48K

$111.8K

$166K

How much do software performance optimization developer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for software performance optimization developer in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What does a software performance optimization developer do?

A Software Performance Optimization Developer specializes in improving the speed, efficiency, and scalability of software applications. They analyze code, identify bottlenecks, and implement solutions to optimize resource usage and overall performance. Their work often includes profiling applications, refactoring code, tuning system settings, and collaborating with other developers to ensure optimal operation. This role is crucial for delivering high-performing software that meets user expectations and business requirements.

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

To thrive as a Software Performance Optimization Developer, you need strong programming skills, in-depth knowledge of algorithms and data structures, and experience with performance profiling, typically backed by a degree in computer science or a related field. Familiarity with profiling tools (such as Valgrind, Perf, or VisualVM), benchmarking suites, and performance monitoring systems is essential. Exceptional analytical thinking, problem-solving abilities, and effective communication help you diagnose bottlenecks and collaborate with development teams. These skills and qualities are crucial to ensure software runs efficiently, meets scalability requirements, and delivers a seamless user experience.

What are some common challenges faced by software performance optimization developers when working with legacy systems?

Software Performance Optimization Developers often encounter challenges with legacy systems, such as outdated codebases, lack of documentation, and compatibility issues with modern tools or libraries. These factors can make identifying and resolving performance bottlenecks more complex and time-consuming. Collaborating closely with other developers and system administrators is crucial to gain insights into system behavior and ensure that optimizations do not inadvertently disrupt existing functionalities. Additionally, balancing performance improvements with the need for code maintainability often requires thoughtful planning and communication with the broader development team.

What are popular job titles related to Software Performance Optimization Developer jobs?

For Software Performance Optimization Developer jobs, the most frequently searched job titles are:

Senior/Staff Software Engineer, ML Performance Optimization

Remote

Zoox
Manufacturing • 1 - 5K employees
Learn more about Zooxexternal

$254K - $350K/yr

Full-time

Re-posted 29 days ago

Zoox rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible. 
 
The Opportunity
Are you excited to drive our ML Performance Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible? You will get to work with SOTA accelerators, cutting-edge techniques in distributed training, quantization, distillation, and pruning, among other things, working closely with all the Autonomy teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.
 
We build and operate the base layer of ML tools, model development, and serving systems that our applied research teams use for in- and off-vehicle ML use cases. You will work alongside a team of strong software engineers and act as a force multiplier for our internal customers. This team has many growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent.
In this role, you will:
  • Develop and execute a strategic vision for the ML Performance Optimization team to unlock ML innovation in autonomous driving and rider experience. 
  • Lead the design, implementation, and operation of cutting-edge ML Training OR Inference performance optimization techniques to scale our VLM, VLA, and Foundational models and deploy them efficiently in our robotaxi.
  • Collaborate closely with x-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers, to define requirements and align on architectural decisions.
  • Enable the engineers in the team to grow their careers by providing technical guidance and mentorship.
Qualifications

Note: You do not have to meet all the requirements below to be considered for this position:

  • Strong experience with training frameworks like PyTorch, leveraging GPUs efficiently for distributed model training.
  • Experience with GPU-accelerated inference using TensorRT or similar frameworks.
  • Experience using profiling tools like NVIDIA's Nsight or PyTorch's Profiler for identifying model training and serving bottlenecks.
  • Proficient in Python and C++
  • Experience with model compression techniques to reduce model size and improve performance.
Bonus Qualifications
  • 10+ years of total experience, including 4+ years of working on large-scale model training or inference platforms.
  • Excellent leadership skills with a demonstrated ability to lead high-performing engineering teams.
$254,000 - $350,000 a year
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About Zoox

Sourced by ZipRecruiter

Zoox is dedicated to creating the world's first fully autonomous vehicle fleet and the necessary ecosystem to make this technology accessible. Positioned at the crossroads of robotics, machine learning, and design, Zoox strives to deliver the future of mobility-as-a-service in urban settings. We seek exceptional individuals who share our enthusiasm and are eager to join a dynamic and results-driven team.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Foster City, CA, US

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