{"id":816279,"url":"https://alion.io/job/geci-hpc-development-support-engineer-customer-residency","title":"HPC Development Support Engineer - Customer Residency","company":{"id":691382,"name":"GECI International","domain":"geci.net","url":"https://alion.io/company/geci","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"D","score":50,"open_postings":18,"ghost_share":0.833,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Support","role_family":"Support","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Bash","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"CMake","optional":false},{"name":"CUDA","optional":false},{"name":"Docker","optional":false},{"name":"Fortran","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab","optional":false},{"name":"GitLab CI","optional":false},{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"Jenkins","optional":false},{"name":"Linux","optional":false},{"name":"MPI","optional":false},{"name":"NCCL","optional":false},{"name":"OpenMP","optional":false},{"name":"Python","optional":false},{"name":"SLURM","optional":false},{"name":"Terraform","optional":false},{"name":"C","optional":true}],"status":"live","first_seen_at":"2026-02-05T11:32:57Z","employer_posted_date":"2026-02-05","last_verified_at":"2026-10-21T11:47:34Z","board_verified":true,"closed_at":null,"days_open":258,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":257},"description":"Role Overview\nHighly skilled HPC professional specialising in NVIDIA GPU development practices, embedded within the customer's development teams. This resident role focuses on supporting application migration and optimization on new HPC infrastructure, acting as a trusted technical advisor and bridge between customer teams and infrastructure partners.\nContext\nDeployment Model: On-site residency Pau within customer's development teams\n\nInfrastructure Focus: New HPC environment with NVIDIA GPU acceleration\n\nPartnership Ecosystem: Collaboration with Dell infrastructure and NVIDIA compiler support teams\n\nMission: Enable successful application migration, optimization, and long-term operational excellence\n\nKey Responsibilities\nApplication Migration and Optimization\nAssist in migrating applications to the new HPC environment, ensuring compatibility and performance\n\nProfile and fine-tune HPC applications for the production system\n\nIdentify performance bottlenecks and optimization opportunities\n\nEnsure applications leverage GPU acceleration effectively\n\nTechnical Expertise\nTroubleshoot and resolve issues related to:\nApplication deployment\n\nPlatform compatibility\n\nPerformance optimization\n\nSystem integration\n\nSupport continuous improvement initiatives for application lifecycle management\n\nProvide hands-on technical guidance for complex HPC challenges\n\nTrusted Advisor Role\nProvide strategic guidance on development and optimization best practices for HPC environments\n\nRecommend tools, frameworks, and processes to improve scalability and reliability\n\nShare industry best practices and emerging technologies\n\nMentor customer teams on HPC development methodologies\n\nCollaboration and Governance\nParticipate in regular meetings with the customer to review progress and align priorities\n\nAct as a liaison between customer development teams and Dell infrastructure technical experts\n\nAct as a liaison between customer development teams and NVIDIA compiler support\n\nFacilitate knowledge transfer and cross-team communication\n\nDocument technical decisions, recommendations, and lessons learned\n\nDevOps Enablement\nAssist in designing and implementing CI/CD pipelines tailored for HPC applications\n\nIntegrate automated testing and deployment workflows\n\nSupport DevOps best practices adapted to HPC constraints and requirements\n\nEnable reproducible builds and deployment automation\n\nRequired Technical Skills\nHPC & GPU Development\nNVIDIA GPU Programming: CUDA, profiling tools (Nsight, nvprof)\n\nHPC Application Optimization: Performance tuning, parallelization strategies\n\nProfiling & Benchmarking: Application performance analysis and optimization\n\nCompiler Expertise: NVIDIA HPC SDK, GPU-accelerated libraries (cuBLAS, cuFFT, NCCL)\n\nSoftware Development\nProgramming Languages: C/C++, Python, Fortran (asset)\n\nParallel Programming: MPI, OpenMP, GPU acceleration\n\nVersion Control: Git, GitLab/GitHub workflows\n\nBuild Systems: CMake, Make, containerization (Docker, Singularity)\n\nHPC Infrastructure\nLinux Systems: Deep knowledge of HPC Linux environments\n\nJob Schedulers: Slurm, PBS, LSF experience\n\nStorage Systems: Parallel file systems (Lustre, GPFS)\n\nNetworking: High-speed interconnects (InfiniBand, RoCE)\n\nDevOps & Automation\nCI/CD Tools: Jenkins, GitLab CI, GitHub Actions\n\nContainer Technologies: Docker, Singularity/Apptainer for HPC\n\nScripting: Bash, Python for automation\n\nInfrastructure as Code: Ansible, Terraform (asset)\n\nRequired Profile\nEssential Experience\n5+ years in HPC environments (supercomputing centers, research labs, or industry HPC)\n\nStrong NVIDIA GPU development experience (CUDA programming, optimization)\n\nApplication porting and optimization on HPC systems\n\nProfiling and performance analysis expertise\n\nLinux system administration in HPC contexts\n\nTechnical Competencies\nDeep understanding of GPU architecture and memory hierarchy\n\nExperience with parallel programming models (MPI, OpenMP, CUDA)\n\nKnowledge of HPC software stack (compilers, libraries, schedulers)\n\nAbility to troubleshoot complex technical issues across the stack\n\nExperience with DevOps practices in scientific computing environments\n\nSoft Skills & Working Style\nExcellent communication skills - ability to explain complex technical concepts\n\nCustomer-facing experience - comfortable working embedded in client teams\n\nCollaborative mindset - bridge between multiple technical teams\n\nAutonomy and initiative - self-directed problem-solving\n\nPedagogy and mentoring - ability to transfer knowledge effectively\n\nAdaptability - comfortable in dynamic, evolving environments\n\nHighly Valued Experience\nPrevious residency or consulting roles in customer environments\n\nExperience with NVIDIA HPC SDK and compiler toolchain\n\nDell/HPE HPC infrastructure knowledge\n\nScientific computing applications (CFD, molecular dynamics, climate modeling, etc.)\n\nCI/CD for HPC - experience with automated workflows for scientific applications\n\nMulti-vendor ecosystem experience (NVIDIA, Intel, AMD)\n\nWorking Arrangements\nLocation & Work Model\nOn-site residency at PAU\n\nEmbedded within customer development teams\n\nClose collaboration with infrastructure teams (NVIDIA support)\n\nLanguage Requirements\nFluent English required (technical documentation, meetings, presentations)\n\nFrench proficiency (asset, depending on customer location)\n\nAdditional Requirements\nAbility to work in collaborative, cross-functional teams\n\nComfortable with regular customer interaction and reporting\n\nWillingness to travel occasionally for training or vendor meetings\n\nSuccess Criteria\nSuccessful migration of critical applications to new HPC infrastructure\n\nMeasurable performance improvements in optimized applications\n\nStrong customer satisfaction and trust relationship\n\nEffective knowledge transfer to customer teams\n\nSmooth collaboration between all technical 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