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Rust Developer Jobs in Pennsylvania (NOW HIRING)

Skild AI

Software Engineer, AI Inference

Pittsburgh, PA

$100K - $300K/yr

Software Engineer, AI Inference Pittsburgh, San Francisco, Bengaluru Company Overview At Skild AI ... Proficiency developing in low-level systems languages (C, C++, Rust, Go), Python and at least one ...

Skild AI

Software Engineer, AI Inference

Pittsburgh, PA · On-site

$100K - $300K/yr

Position Overview We are looking for a Software Engineer to work at the forefront of deploying our ... Proficiency developing in low-level systems languages (C, C++, Rust, Go), Python and at least one ...

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How much do rust developer jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for rust developer in Pennsylvania is $52.97, according to ZipRecruiter salary data. Most workers in this role earn between $40.48 and $64.81 per hour, depending on experience, location, and employer.

What are some common challenges Rust Developers face when working on large-scale projects?

Rust Developers often encounter challenges such as managing complex dependencies, ensuring memory safety without sacrificing performance, and integrating Rust code with existing systems written in other languages. Collaborating with cross-functional teams can also require clear communication, especially when explaining Rust’s unique concepts to those unfamiliar with the language. Staying up-to-date with the rapidly evolving Rust ecosystem and tooling is important, as new libraries and best practices frequently emerge.

What is the difference between Rust Developer vs C++ Developer?

AspectRust Developer
Required CredentialsProficiency in Rust programming, often with a computer science background or coding certifications
Work EnvironmentSoftware development teams, especially in systems programming, embedded systems, or performance-critical applications
Industry UsageTech companies focusing on safety, concurrency, and performance, including blockchain, embedded systems, and web assembly

Rust Developers and C++ Developers share similar skills in systems programming, requiring knowledge of low-level programming, memory management, and performance optimization. Both roles are common in industries demanding high efficiency and safety. While C++ Developers often have experience with legacy codebases and a broader range of tools, Rust Developers focus on modern safety features and concurrency. The choice between the two depends on project requirements and company preferences.

What Does a Rust Developer Do?

The job duties of a Rust developer focus on performing computer programming tasks using the Rust programming language. As a Rust developer, you focus on coding and development for projects such as web browsers, operating systems, server and systems software, and blockchain projects. Your responsibilities vary depending on the requirements of the development projects on which you work. You typically work to ensure the safety and security of the software or systems that you develop and test and debug them as part of the development process.

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

To thrive as a Rust Developer, you need strong proficiency in Rust programming, a solid understanding of systems programming concepts, and a relevant degree or experience in software development. Familiarity with tools like Cargo, Git, and continuous integration systems, as well as experience with frameworks such as Actix or Rocket, are commonly required. Outstanding problem-solving skills, attention to detail, and effective communication set top Rust Developers apart. These skills ensure robust, efficient, and safe code, which is essential for building reliable software solutions.

What are Rust Developers?

Rust Developers are software engineers who specialize in using the Rust programming language to build safe, fast, and reliable applications. They write, test, and maintain code, often focusing on system-level programming, web servers, blockchain technologies, and performance-critical software. Rust Developers leverage the language’s unique features, like memory safety and concurrency, to build efficient and secure solutions. Their responsibilities may also include contributing to open-source projects, optimizing existing code, and collaborating with cross-functional teams.
More about Rust Developer jobs
What are the most commonly searched types of Rust Developer jobs in Pennsylvania? The most popular types of Rust Developer jobs in Pennsylvania are:
What are popular job titles related to Rust Developer jobs in Pennsylvania? For Rust Developer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Rust Developer jobs in Pennsylvania look for? The top searched job categories for Rust Developer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Rust Developer jobs? Cities in Pennsylvania with the most Rust Developer job openings:
Rust Developer jobs near you
Infographic showing various Rust Developer job openings in Pennsylvania as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,169 per year, or $53 per hour.

Machine Learning Engineer- Inference Optimization | Experienced Hire

Susquehenna International Group

Bala Cynwyd, PA

$107K - $129K/yr

Other

Posted 7 days ago

Job description

Machine Learning Engineer

We are looking for a Machine Learning Engineer focused on low-latency inference optimization to help build, tune, and productionize high-performance model serving systems. This role sits at the intersection of machine learning, systems engineering, and GPU performance. You will work on inference workloads where latency, throughput, reliability, and hardware efficiency all matter, and where a deep understanding of modern inference runtimes can meaningfully improve production outcomes.

You will work closely with quantitative researchers and engineers to understand model structure, identify inference bottlenecks, and turn research ideas into efficient production systems. The work may involve other types of models, but focuses on transformer-style architectures, and structured inference workloads. You will evaluate and tune frameworks and related serving or compilation systems, while also reasoning about GPU execution, memory layout, batching strategies, precision tradeoffs, and end-to-end latency.

What You'll Do
  • Design, build, and optimize low-latency inference systems for production machine learning workloads.
  • Profile model inference pipelines across model execution, runtime configuration, batching, memory movement, serialization, networking, and I/O.
  • Evaluate, integrate, and tune inference runtime systems.
  • Improve latency, throughput, GPU utilization, for production inference workloads.
  • Build and support benchmarking and profiling tools to compare model variants, hardware targets, runtime configurations, and deployment strategies.
  • Debug performance issues involving GPU memory, compute saturation, kernel behavior, CPU/GPU coordination, data movement, and serving-layer overhead.
  • Help shape model and system design choices so that research models are efficient to deploy under real latency constraints.
  • Where necessary, collaborate with lower-level systems or GPU specialists on custom operators, kernel-level optimization, or hardware-specific performance work.
What We're Looking For
  • Experience deploying, optimizing, or operating machine learning inference workloads in production or production-like environments.
  • Programming experience in Python, Java, C# etc. and at least one systems language such as C, C++, Rust, or Go
  • Solid understanding of modern ML frameworks such as PyTorch, including model execution, export, tracing, compilation, and performance profiling.
  • Ability to reason about latency, throughput, batching, memory use, GPU utilization, and reliability under real workloads.
  • Strong practical judgment around tradeoffs between model quality, latency, throughput, implementation complexity, and maintainability.

Apply