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Programming Language Jobs in Pittsburgh, PA (NOW HIRING)

Senior Systems Performance Engineer

Pittsburgh, PA · Hybrid

$101K - $138K/yr

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 ...

Software Engineer

West Mifflin, PA · On-site

$86K - $134K/yr

... programming language Script development Use of artificial intelligence (AI) tools for software unit test development Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability ...

Informatica Developer

Pittsburgh, PA · On-site

$51.75 - $68/hr

Preferred Skills Application Development, Business Management, Customer Solutions, Design, ETL (Informatica), Group Problem Solving, Informatica Development, PL/SQL (Programming Language), Process ...

Machine Learning Engineer III

Pittsburgh, PA · On-site

$111K - $133K/yr

... programming language (Python preferred). Ability to efficiently work with very large datasets and deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.) • Assess ...

Showing results 41-60

Programming Language information

See Pittsburgh, PA salary details

$43.2K

$68.8K

$96.1K

How much do programming language jobs pay per year?

As of Sep 5, 2026, the average yearly pay for programming language in Pittsburgh, PA is $68,789.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $85,900.00 per year, depending on experience, location, and employer.

What are programming languages?

Programming languages are formal systems of communication used to instruct computers to perform specific tasks. They provide a set of rules and syntax for writing code that can be interpreted or compiled into machine instructions. Examples include Python, Java, C++, and JavaScript, each with their own strengths and typical use cases. Learning a programming language is essential for software development, automation, data analysis, and many other fields in technology.

What are some common challenges faced when working as a programming language developer?

Programming language developers often encounter challenges such as designing language features that balance usability and performance, ensuring backward compatibility, and writing comprehensive documentation. Collaboration with compiler engineers, tool developers, and the user community is essential to address bugs and gather feedback on language design. Staying updated with evolving industry standards and technologies is also vital for long-term success in this role.

What are the key skills and qualifications needed to thrive as a programming language developer, and why are they important?

To thrive as a Programming Language Developer, you need a deep understanding of computer science fundamentals, compiler theory, and strong programming skills, often supported by a degree in computer science or a related field. Experience with languages like C/C++, LLVM, parser generators, and familiarity with version control systems are typically required. Analytical thinking, attention to detail, and effective problem-solving set standout professionals apart in this role. These skills are crucial for designing efficient, reliable programming languages that can be effectively adopted and maintained by developer communities.

What is the difference between Programming Language vs Software Developer?

AspectProgramming LanguageSoftware Developer
Required CredentialsNone or basic coding knowledgeDegree in Computer Science or related field, coding skills
Work EnvironmentUsed in coding, scripting, and development tasksDesigning, coding, testing, and maintaining software
Industry UsageTools for software developmentProfessionals who develop software using programming languages

Programming languages are tools used by software developers to create applications. While programming languages are essential for coding, software developers apply these languages in real-world projects, combining skills, problem-solving, and design to build functional software solutions.

Infographic showing various Programming Language job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $68,789 per year, or $33.1 per hour.

Senior Systems Performance Engineer

Motional

Pittsburgh, PA • Hybrid

$101K - $138K/yr

Full-time

Re-posted 16 days ago


Key responsibilities

  • Design and build low-overhead observability infrastructure for resource usage, latency, scheduling behavior, and system health.

  • Develop metrics, tracing, profiling, and analysis tools to identify performance contention and explain system behavior.

  • Partner with autonomy and platform teams to investigate crashes, latency spikes, missed deadlines, resource exhaustion, and performance regressions.


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.