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Performance Optimization Jobs (NOW HIRING)

Novo Nordisk A/S

$120 - $171/hr

Create Alert Senior Manager of Funnel Performance & Optimization Facility: Commercial Marketing Location: Plainsboro, NJ, US About the Department Our Marketing & Patient Solutions group creates and ...

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How much do performance optimization jobs pay per year?

As of Sep 5, 2026, the average yearly pay for performance optimization in the United States is $68,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $83,000.00 per year, depending on experience, location, and employer.

What is a performance optimization?

A Performance Optimization job focuses on analyzing, improving, and maintaining the efficiency of systems, processes, or applications. Professionals in this role identify bottlenecks, implement solutions, and enhance overall performance using data-driven strategies. They may work with software, business processes, or operational workflows to maximize productivity and resource utilization. This role often requires expertise in analytics, problem-solving, and technical tools specific to the industry.

What are the key skills and qualifications needed to thrive in performance optimization?

To excel in Performance Optimization, you need a strong analytical mindset, expertise in data interpretation, and a relevant degree in fields like engineering, computer science, or business analytics. Familiarity with tools such as SQL, Python, Tableau, and process improvement methodologies like Lean or Six Sigma is often required. Excellent problem-solving, communication, and project management skills set standout candidates apart. These abilities are essential for identifying improvement opportunities and effectively driving process enhancements within an organization.

What are some common challenges faced in a performance optimization role, and how are they typically addressed?

Professionals in Performance Optimization often encounter challenges such as managing complex data sets, aligning diverse teams around process changes, and quantifying the impact of optimizations. Overcoming these hurdles usually involves effective stakeholder communication, strong analytical processes, and the use of advanced data visualization tools to make insights actionable. Teams often collaborate closely with IT, operations, and management to ensure solutions are both technically sound and practical. Regular training and adapting to new industry best practices help maintain high performance and continue driving meaningful improvements.

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Performance Optimization jobs near you
Infographic showing various Performance Optimization job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $68,249 per year, or $32.8 per hour.

Compiler Engineer, Graph Compiler Performance Optimization

Meta

Menlo Park, CA

$183K/yr

Full-time

Posted 25 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

In this role, you will be a member of the MTIA (Meta Training & Inference Accelerator) Software team and part of the bigger AI and Compute Foundations team. The Graph Compiler team drives the development of the top-of-stack compilation pipeline for MTIA — taking PyTorch models, tracing the model graph, lowering and optimizing through FX/Inductor, and mapping to high-performance kernels. Your specific focus will be on performance optimization within the graph compiler: designing and implementing compiler passes that maximize throughput and minimize latency for AI workloads on MTIA hardware.You will work closely with AI researchers to understand emerging model architectures and translate performance requirements into compiler optimization strategies. You will partner with hardware design teams to drive hardware-software co-design, ensuring the compiler exploits new silicon capabilities from day one. You will also collaborate with the Triton/DSL and LLVM compiler teams to deliver cross-stack performance improvements.
Compiler Engineer, Graph Compiler Performance Optimization Responsibilities:
  • Design, implement, and validate graph-level compiler optimization passes targeting performance within the PyTorch Inductor / FX IR compilation pipeline for MTIA
  • Profile and analyze deep learning models to identify graph-level performance bottlenecks such as suboptimal fusion boundaries, excessive memory traffic, and scheduling inefficiencies — then develop compiler solutions to address them
  • Develop and extend automatic fusion strategies to unlock peak hardware utilization across MTIA chip generations
  • Implement memory optimizations including data placement strategies, memory footprint reduction, and data movement elimination to reduce latency and improve bandwidth utilization
  • Build and improve performance analysis tooling to accelerate optimization iteration cycles
  • Collaborate with hardware design teams on hardware-software co-design: informing hardware features from compiler needs and rapidly developing compiler support for new chip capabilities
  • Ensure compiler optimizations are portable and scalable across MTIA chip generations, enabling rapid software bring-up for new silicon
  • Partner with AI researchers to co-design model architectures and compiler optimizations, ensuring models run performantly on MTIA out of the box

Minimum Qualifications:
  • Experience with C/C++ and Python programming
  • Experience in compiler development, performance optimization, or accelerating deep learning models on hardware architectures
  • Understanding of deep learning model execution (graphs, operators, data flow) and how compiler transformations affect end-to-end performance
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:
  • Experience with PyTorch internals, PyTorch 2.0 compilation stack (TorchDynamo, FX IR, Inductor), or similar ML compilation frameworks (XLA, TVM, MLIR, Glow)
  • Experience with performance profiling and analysis: identifying compute/memory/I/O bottlenecks, understanding roofline models, and developing systematic approaches to performance tuning
  • Experience with AI hardware accelerator architectures (GPUs, TPUs, or custom ASICs) and understanding of how hardware constraints inform graph-level optimization decisions
  • Experience working with deep learning frameworks (PyTorch, TensorFlow, JAX) and understanding their compilation and execution models
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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