{"id":2611550,"url":"https://alion.io/job/insight-soft-max-hpc-infrastructure-engineer","title":"HPC Infrastructure Engineer","company":{"id":2982245,"name":"Insight Softmax Consulting, LLC","domain":"insightsoftmax.com","url":"https://alion.io/company/insightsoftmax","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"part_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":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-06-22T00:00:00Z","employer_posted_date":"2026-06-22","last_verified_at":"2026-10-30T02:07:26Z","board_verified":true,"closed_at":null,"days_open":130,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":129},"description":"Insight Softmax is a leading organization in the fields of machine learning, data science, and high-performance computing (HPC). We are dedicated to providing innovative solutions in computing technology to solve complex problems in various sectors including research, science, manufacturing, finance, and data analytics.\nDescription:\nWe are hiring an HPC Infrastructure Engineer for our engineering team. Within the HPC realm, we design and build CFD (computational fluid dynamics) and simulation services. \nThe ideal candidate will have a strong background in building and maintaining high-performance computing services, expertise in distributed systems, and a passion for systems engineering, scaling, and storage architecture. This role involves working closely with our development teams to design, implement, and optimize HPC solutions that meet our growing needs.\nThis opportunity is particularly unique, placed within our skunkworks team at Insight Softmax. While the exact nature and purpose of this work is confidential, it is an extremely exciting set of projects and objectives that touch HPC, ML, Simulation, and Quantum swimlanes. Our HPC team is building CFD services and architecture that will integrate directly with ML and Simulation services. You will interface and work with some of the most experienced and talented people on the planet across these swimlanes.\nThe infrastructure team we are putting together requires individuals with focus on delivery and results, hunger to learn, ability to adapt, and also thrive in an environment where you will not be provided all the training nor instructions to get your deliverables done. You will be given top-level engineering goals and milestones, so you are responsible for figuring out and delivering what is required to get there. Folks with startup experience may be more comfortable in this position, as will people that have a mental itch that can never be fully scratched. While senior-level individuals often bring well-needed experience to the table, we are always open to less-experienced individuals who may have great attributes suitable for our team culture.\nDepending on engineering objectives, priorities, and team member skill sets, in the future we may swap team members between responsibilities, or we may all team up together to finish one project more quickly, so you may have the opportunity to work on other projects (ML, Simulation, Quantum, etc) outside of HPC.\nKey Responsibilities:\nDesign, build, and maintain high-performance computing (HPC) infrastructure.\nDevelop and implement scalable distributed systems for complex computing tasks.\nScaling services and systems from smaller deployments of ~50 nodes into larger ~250+ node clusters.\nUsing orchestration, configuration management, virtualization, linux, CLI, deploy tools, monitoring, APM.\nMonitor HPC systems performance and implement improvements to ensure scalability and efficiency.\nOptimizing engineering and deliverables to balance feature development, product quality, service reliability.\nQualifications:\nAt least 3-5 years of experience in HPC infrastructure, systems engineering, or a similar role.\nStrong understanding of systems engineering principles and scaling strategies.\nDeep knowledge of at least one of AWS, GCP, or Azure. Preferably AWS.\nRobust k8s (kubernetes) skills and networking expertise.\nStrong linux chops.\nExperience with data architecture and large-scale data processing.\nOptional Experience and Skills:\nHPC CFD experience.\nScaling services and systems from single-region clusters into multi-regional deployments.\nExperience with clusters of greater than 100 nodes.\nBuilding on-prem systems (on-premise, data center, rack-n-stack, etc).\nDistributing workloads onto both cloud and on-prem systems.\nBalancing business needs, product delivery dates, and customer satisfaction.\nBonus Experience and Skills:\nBackend work like SQL, API development, and serverless.\nSoftware engineering\nPython, and/or other programming languages\nHarnessing creativity, generating innovative products and features, and ensuring a delightful customer experience.\nUsing linux as your primary desktop workstation environment.\nAttributes that we value:\nTransparency\nGrit\nEffectiveness\nWillingness to learn\nLocation and Hours:\nPart time position (hours vary based on project needs, but usually at least 20 hours per week minimum)\nRemote work environment\n80% of your work schedule will be during the business time zones for Latin America and Canada.\nSome customer meetings will occur each week at non-standard / nighttime hours, as we currently support a global team across 3-4 continents. \nReferences:\n3 references will be required.\nNotes:\nAI systems may be used with the recruitment and screening processes for this job requisition.","description_format":"text","description_chars":4782,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-15T11:09:17Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long 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