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Automotive Performance Engineer Jobs in Pittsburgh, PA

Senior Systems Performance Engineer

Pittsburgh, PA · Hybrid

$101K - $138K/yr

We are seeking a Linux Systems Performance Engineer to improve the performance, reliability, and ... Experience optimizing embedded Linux or automotive compute platforms. * Experience with real-time ...

Senior Systems Performance Engineer

Pittsburgh, PA · On-site

$101K - $138K/yr

We are seeking a Linux Systems Performance Engineer to improve the performance, reliability, and ... Experience optimizing embedded Linux or automotive compute platforms. * Experience with real-time ...

Senior Systems Performance Engineer

Pittsburgh, PA · Hybrid

$101K - $138K/yr

We are seeking a Linux Systems Performance Engineer to improve the performance, reliability, and ... Experience optimizing embedded Linux or automotive compute platforms. * Experience with real-time ...

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Automotive Performance Engineer information

See Pittsburgh, PA salary details

$10

$58

$95

How much do automotive performance engineer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for automotive performance engineer in Pittsburgh, PA is $58.35, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $66.06 per hour, depending on experience, location, and employer.

What does an automotive performance engineer do?

An Automotive Performance Engineer focuses on optimizing vehicle performance, including engine power, handling, aerodynamics, and fuel efficiency. They conduct tests, analyze data, and collaborate with design teams to enhance speed, durability, and overall driving experience. Their work involves using simulation tools, dynamometers, and real-world testing to fine-tune components. These engineers often work in motorsports, high-performance vehicle manufacturing, or research and development.

What are the key skills and qualifications needed to thrive as an automotive performance engineer?

To thrive as an Automotive Performance Engineer, you need a solid background in mechanical or automotive engineering, with expertise in vehicle dynamics, engine tuning, and data analysis. Familiarity with tools such as dynamometers, simulation software (like MATLAB or Simulink), and industry certifications such as ASE or similar are often required. Strong problem-solving abilities, clear communication, and teamwork are essential soft skills for this role. These skills ensure that performance engineers can optimize vehicle systems effectively, collaborate with multidisciplinary teams, and drive innovation in a competitive automotive environment.

What are popular job titles related to Automotive Performance Engineer jobs in Pittsburgh, PA?

For Automotive Performance Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Automotive Performance Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Automotive Performance Engineer jobs in Pittsburgh, PA are:

Infographic showing various Automotive Performance Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $121,370 per year, or $58.4 per hour.

Senior Systems Performance Engineer

Motional

Pittsburgh, PA • Hybrid

$101K - $138K/yr

Full-time

Re-posted 5 days ago


Job description

Mission Summary:

Motional's Platform Infrastructure organization builds and operates the foundational onboard software systems that power our autonomous vehicles. Our responsibilities include system communications and IPC, networking, Linux operating system development and maintenance, high-speed data logging and offload, and onboard system performance optimization.

We are seeking a Linux Systems Performance Engineer to improve the performance, reliability, and observability of our onboard compute platform. This will be a hybrid role focused on both the development of new observability methods and metrics while also operating with the rest of the engineering organization to diagnose and develop solutions to improve our real-time system. You will build tools and telemetry that enable faster, and increasingly real-time, root cause analysis while partnering with autonomy teams to diagnose and resolve resource contention, crashes, latency spikes, and other complex system-level issues.

What You'll Be Doing:

  • Design and build low-overhead observability infrastructure for resource usage, latency, scheduling behavior, and system health.
  • Develop metrics, tracing, profiling, and analysis tools that identify performance contention and explain system behavior.
  • Improve real-time and post-event root cause analysis across CPU, memory, storage, networking, and other shared resources.
  • Partner with autonomy and platform teams to investigate crashes, latency spikes, missed deadlines, resource exhaustion, and performance regressions.
  • Analyze application, operating system, kernel, and hardware interactions on embedded Linux compute platforms.
  • Translate investigations into durable improvements, including tooling, alerts, dashboards, performance requirements, and architectural changes.
  • Define performance benchmarks and regression tests for onboard systems.
  • Evaluate the performance impact of new software, hardware, and system configurations.
  • Communicate findings clearly and provide actionable recommendations to cross-functional engineering teams.
  • Contribute to technical roadmaps for onboard observability and system performance.

What We're Looking For:

  • Strong experience debugging and optimizing Linux system performance.
  • Deep understanding of operating system concepts, including process scheduling, memory management, filesystems, networking, and inter-process communication.
  • Experience diagnosing resource contention, latency, crashes, or throughput problems in complex production systems.
  • Experience with Linux performance and tracing tools such as `perf`, ftrace, eBPF/BPF, BCC, bpftrace, flame graphs, or equivalent technologies.
  • Proficiency in a systems programming language such as C or C++.
  • Experience using Python, shell scripting, or similar languages for automation and data analysis.
  • Ability to analyze large volumes of system telemetry and distinguish root causes from symptoms.
  • Ability to work effectively across organizational boundaries and collaborate with application, infrastructure, and hardware teams.
  • Strong written and verbal communication skills, including the ability to explain complex system behavior to varied audiences.

Bonus Points(not required):

  • Experience optimizing embedded Linux or automotive compute platforms.
  • Experience with real-time or latency-sensitive systems.
  • Experience working directly with the Linux kernel, scheduler, device drivers, or kernel instrumentation.
  • Experience designing observability platforms, telemetry pipelines, or fleet-scale performance analysis systems.
  • Experience with cgroups, namespaces, containers, and resource isolation.
  • Experience analyzing performance across heterogeneous compute resources such as CPUs, GPUs, and hardware accelerators.
  • Experience with high-throughput networking, storage, data logging, or data offload systems.
  • Experience establishing performance budgets, service-level objectives, or automated regression detection.
  • Experience with the NVIDIA DRIVE AGX platform or DriveOS ecosystem.
  • Familiarity with Bazel and large-scale C++ codebases.

Work Arrangement:

This role is hybrid from our Pittsburgh office and requires in-office days each week to support hands-on system work and cross-functional collaboration.