{"id":1760188,"url":"https://alion.io/job/qualcomm-engineer-staff-7","title":"Engineer, Staff","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":70,"open_postings":1118,"ghost_share":0.244,"stale_share":0.135,"repost_share":0.462,"time_to_fill_p50_days":74,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":60000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1625},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"C++","optional":true},{"name":"Diffusion Models","optional":true},{"name":"Docker","optional":true},{"name":"Gerrit","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true},{"name":"GitLab","optional":true},{"name":"GitOps","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"KV Cache","optional":true},{"name":"Rest-Assured","optional":true},{"name":"RLAIF","optional":true},{"name":"RLHF","optional":true}],"status":"live","first_seen_at":"2026-09-18T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-26T01:44:29Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":38},"description":"Company:\nQualcomm India Private LimitedJob Area:\nEngineering Group, Engineering Group > Software Engineering General Summary:\nSystems and Solutions Staff Engineer - Data Center AI\nGeneral Summary\nAs Datacenter Systems and Solutions Engineer, you own the full arc of AI inference programs on Qualcomm's datacenter AI platform from architectural decisions through production deployment and serve as the technical lead on customer engagements. This role requires expertise across the AI stack, including hardware accelerator behavior, inference serving frameworks, model optimization and distributed system design, combined with the cross-functional leadership to drive complex, ambiguous programs across compiler, runtime, serving and customer engineering organizations.\nMinimum Qualifications\nBachelor's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of systems engineering or related work experience\nOR Master's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of systems engineering or related work experience\nOR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of related experience\nPrincipal Duties and Responsibilities\nLead the architecture and end-to-end design of AI inference solutions on Qualcomm AI hardware, defining system requirements, interface specifications and performance targets for complex deployments\nOwn customer AI engagements as technical lead: translate customer requirements into deployment-ready serving architectures, drive model optimization and validate production readiness\nDrive development and deployment of GenAI and LLM applications, including architecture decisions for fine-tuning, quantization, speculative decoding and disaggregated serving\nDefine and execute benchmarking programs across the hardware and software stack; perform root-cause analysis on complex system-level issues and communicate findings to engineering and customer stakeholders\nMentor and coach engineers on technical approaches, debugging methodology and best practices; provide leadership on project execution and set clear expectations across contributors\nIdentify and prototype solutions to unmet technical challenges; challenge ingrained practices by introducing approaches drawn from current research and validated against production hardware\nCollaborate across compiler, runtime, serving, model engineering and customer engineering teams to resolve cross-functional blockers and deliver system-level objectives\nDefine reusable platform capabilities, tooling and documentation that scale team capacity beyond individual engagements\nContribute to strategic decisions on model portfolio prioritization, inference stack investment and customer deployment architecture\nTrack advancements in AI and ML research and translate techniques relevant to Qualcomm's hardware capabilities into actionable product and solution improvements\nRequired Skills\nStrong proficiency in Python and ML frameworks (PyTorch, TensorFlow)\nDeep understanding of ML model development, deployment and production inference\nDeep understanding of system performance profiling and parallel computing\nPreferred Qualifications\nMaster's or PhD in Engineering, Information Systems, Computer Science, Physics or related field\nAdvanced understanding of GenAI architectures including transformers, diffusion models, LLMs, large vision-language models and embedding models\nHands-on experience with inference optimization techniques: speculative decoding, KV cache management, continuous batching and tensor/pipeline parallelism\nExperience fine-tuning and distilling GenAI models at scale; familiarity with RLHF and RLAIF methods is a plus\nBackground in compiler optimizations for ML workloads targeting heterogeneous hardware\nExperience designing and operating large-scale distributed AI systems with knowledge of microservice and event-driven architectures\nProficiency with MLOps practices and ML lifecycle tooling; experience with containerization and automation (Docker, Kubernetes, GitOps) is expected\nExperience with observability and performance analysis for ML pipelines: metrics collection, distributed tracing and capacity modeling\nTrack record of leading complex technical programs across large, matrixed organizations\nExperience with open-source development workflows and version control systems (Git, GitHub, GitLab, Gerrit)\nExperience with rack-level orchestration and datacenter automation is a plus\nMinimum Qualifications:\n• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.OR\nMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.\nOR\nPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.\n• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.\nApplicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail  or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).\nQualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.\nTo all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. 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