{"id":142173,"url":"https://alion.io/job/synopsys-rd-engineering-sr-engineer-12885","title":"R&D Engineering, Sr Engineer - 12885","company":{"id":39954,"name":"Synopsys","domain":"synopsys.com","url":"https://alion.io/company/synopsys-inc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":74,"ghost_share":0.041,"stale_share":0,"repost_share":0.189,"time_to_fill_p50_days":15,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Canonsburg, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":84000,"max_usd":158000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":6333},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ANSYS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"CMake","optional":false},{"name":"Conan","optional":false},{"name":"CUDA","optional":false},{"name":"Docker","optional":false},{"name":"Fortran","optional":false},{"name":"Git","optional":false},{"name":"HPC","optional":false},{"name":"MPI","optional":false},{"name":"OpenMP","optional":false},{"name":"Azure","optional":true},{"name":"C","optional":true}],"status":"live","first_seen_at":"2026-08-27T21:23:46Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-28T00:03:24Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":60},"description":"Job Description and Requirements\nWe Are\nSynopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.\nYou Are\nYou have spent your career making code run faster on hardware that keeps changing. You understand that the difference between a solver that takes three hours and one that takes twenty minutes is not just compute power, it is how the algorithm maps to memory, how threads communicate, and whether someone thought hard about cache locality six months ago. You know your way around a profilerand you can read the output without needing to Google every metric.\nWorking across CPU and GPU architectures does not intimidate you. You have debugged MPI communication bottlenecks, wrestled with build systems that span multiple platforms, and written code that has toperform consistently whether it is running on a local workstation or a cloud-based HPC cluster. You think in terms of scalability, not just correctness.\nCollaboration comes naturally. You can sit with a domain expert who speaks in finite elements and boundary conditions, extract what matters for the code, and turn that into a design spec that your team can actually buildfrom. You care about the engineers downstream who depend on your work holding up under real-world load, not just passing CI.\nAt Synopsys, you will work on simulation software that shapes how products get designed across industries. The problems are real, the scale is significant, and what you optimize will matter.\nWhat You'll Be Doing\nDesign, implement, and optimize parallel programming methods within Ansys Mechanical solver products using MPI, GPU programming models like CUDA, HIP, SYCL, OpenMP, and other HPC frameworks\nProfile solver performance across CPU and GPU architectures using tools like Intel VTune, NVIDIA Nsight, or similar, and translate findings into actionable performance improvements\nBuild and maintain code benchmarking suites that track solver performance across releases and catch regressions before they ship\nDrive adoption of modular, hardware-agnostic HPC programming models across multiple solver codebases, working with development teams to ensure consistency and reusability\nCollaborate with numerical methods experts to translate complex algorithmic requirements into performant, maintainable software designs\nSupport procurement, configuration, and management of HPC development and testing platforms, including on-premise clusters and cloud-based environments\nOwn packaging, build system work, and DevOps tooling using CMake, Azure DevOps, Conan, Docker, or CI/CD pipelines to streamline deployment and testing workflows\nThe Impact You Will Have\nReduce solve times for engineering simulations used by leading companies across automotive, aerospace, energy, and electronics industries\nEnable customers to run larger, more complex models by making solvers scale efficiently across hundreds or thousands of cores\nAccelerate the adoption of GPU computing in production simulation workflows, unlocking new performance tiers for users with modern hardware\nImprove developer productivity across multiple solver teams by building reusable HPC frameworks and shared tooling\nEnsure performance consistency and reliability across solver releases through rigorous benchmarking and regression testing\nHelp shape the technical direction of Synopsys simulation products as HPC architectures and customer workloads continue to evolve\nSupport faster iteration cycles for product development teams by streamlining build, test, and deployment infrastructure\nWhat You'll Need\nMinimum Requirements: Bachelor's degree in Mechanical Engineering, Computational Science, Applied Mathematics, Physics, or related field with 2+ years of experience, or Master's degree in a related field. PhD preferred.\nStrong hands-on experience with HPC software design, testing, and deployment in production or research environments\nSolid understanding of data structures, algorithms, and performance considerations in parallel computing contexts\nProficiency with Git and collaborative development workflows across distributed teams\nProficiency in Fortran and C/C++ for performance-critical code development\nExperience with MPI and distributed memory programming models\nExperience with GPU hardware and at least one GPU programming model such as CUDA, HIP, SYCL/oneAPI, OpenMP, OpenACC, or Kokkos is a strong plus\nWho You Are\nYou can look at a profiler trace and identify the bottleneck without needing three meetings to discuss it\nYou write code that other engineers can pick up six months later without needing you to explain every design choice\nYou ask clarifying questions when a requirement is vague rather than guessing and building the wrong thing\nYou are comfortable managing your own time across multiple priorities and know when to escalate blockers versus solve them yourself\nYou can explain a technical tradeoff between two HPC approaches to a domain expert in terms they care about, not just what the benchmark says\nYou stay current with HPC architecture trends and programming models without needing to be told, because you care about building software that will still perform well two hardware generations from now\nThe Team You'll Be Part Of\nYou will work within the Ansys Mechanical R&D organization, collaborating with numerical methods experts, solver developers, and other HPC engineers across a geographically distributed team. Your work will directly support the performance and scalability of industry-leading simulation products used by engineers worldwide to design and validate critical systems.\nRewards and Benefits\nWe offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.\nAt Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.\nIn addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. 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