{"id":3274408,"url":"https://alion.io/job/luxoft-senior-software-engineer-ai-systems-performance","title":"Senior Software Engineer (AI Systems Performance)","company":{"id":171185,"name":"Luxoft","domain":"luxoft.com","url":"https://alion.io/company/luxoft","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"B","score":80,"open_postings":14,"ghost_share":0.071,"stale_share":0.714,"repost_share":0.214,"time_to_fill_p50_days":16,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Romania"],"countries":["RO"],"hiring_countries":["RO"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":108000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Python","optional":false},{"name":"CI/CD","optional":true},{"name":"GitHub","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"KV Cache","optional":true},{"name":"llama.cpp","optional":true},{"name":"SGLang","optional":true},{"name":"SLURM","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-26T13:28:31Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-27T13:12:20Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Project description\nA leading semiconductor and high-performance computing company is looking for a software engineer who is passionate about Distributed Inferencing on GPUs and improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology\nResponsibilities\nWe are seeking a software engineer with strong technical expertise in C++/ Python development, solving performance and investigating scalability on multi-GPU, multi-node clusters. He is also passionate about quality assurance, benchmarking, and automation in the AI/ML space. The ideal candidate thrives in both collaborative and independent environments, demonstrates excellent problem-solving skills, and takes ownership in defining goals and delivering impactful solutions.KEY RESPONSIBILITIES:\nDistributed AI Enablement and Benchmarking: Enable and benchmark AI models on large-scale distributed systems to evaluate performance, accuracy, and scalability.\nScalable Systems Optimization: Optimize AI workloads across scale-up (multi-GPU), scale-out (multi-node), and scale-across distributed system configurations.\nCross-Team Collaboration: Collaborate closely with internal GPU library teams to analyze and optimize distributed workloads for high throughput and low latency.\nParallelization Strategies: Develop and apply optimal parallelization strategies for AI workloads to achieve best-in-class performance across diverse system configurations.\nModel Infrastructure and Management: Contribute to distributed model management systems, model zoos, monitoring frameworks, benchmarking pipelines, and technical documentation.\nPerformance Monitoring and Visualization: Build and maintain real-time dashboards reporting performance, accuracy, and reliability metrics for internal stakeholders and external users.\n\nSKILLS\nMust have\nPREFERRED EXPERIENCE:AI Framework Engineering: Hands-on experience with AI inference or serving frameworks such as vLLM, SGLang, and Llama.cpp.\nKV Cache and Expert Parallelization: Understanding KV cache transfer mechanisms and technologies (e.g., Mooncake, NIXL/RIXL) and expert parallelization approaches (e.g., DeepEP, MORI, PPLX-Garden).\nProgramming and Software Design: Strong C/C++ and Python skills, with experience in software design, debugging, performance analysis, and test development.\nLarge-Scale Distributed Systems: Experience running AI workloads on large-scale, heterogeneous compute clusters.\nCluster and Orchestration Systems: Familiarity with cluster management and orchestration platforms such as SLURM and Kubernetes (K8s).\nDevelopment Tools and Workflows: Experience with GitHub, Jenkins, or similar CI/CD tools and modern development workflows.\n\nNice to have\nACADEMIC CREDENTIALS:\nMaster’s or PhD degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.","description_format":"text","description_chars":2963,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Romania","iso":"RO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-26T13:28:31Z"}],"visa":[],"liveness":{"score":70,"band":"hot","label":"Hiring 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