System Performance Engineer (CPU, GPU, AI/ML) for Automotive platforms | Qualcomm Careers | Engineering Jobs and More

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Wir rekrutieren kluge K\u00f6pfe und setzen uns f\u00fcr eine Kultur der gegenseitigen Unterst\u00fctzung und Inklusion ein. So k\u00f6nnen mit Ihren Ideen zu weltver\u00e4ndernden Innovationen und bahnbrechenden Technologien beitragen. Damit das m\u00f6glich ist, nutzen wir die ganze Breite und Tiefe unseres weltweiten Know-hows. Wir liefern Antworten, machen Komplexes einfach und \u00fcberwinden gemeinsam anspruchsvollste Herausforderungen.</p> <p><strong>Innovationen mit Technologieexperten<br /></strong>Karriere kennt keine Grenzen \u2013 davon sind wir bei Qualcomm fest \u00fcberzeugt. Nutzen Sie die einzigartige M\u00f6glichkeit, mit hoch angesehenen und f\u00fchrenden Engineering- und Technologieexperten der Branche zusammenzuarbeiten. Bei uns erleben Sie Lernen und berufliche Weiterentwicklung in einer v\u00f6llig neuen Dimension.</p> <p><strong>Gesund leben, gesund arbeiten<br /></strong>Dar\u00fcber hinaus haben Sie Zugang zu Programmen wie unseren kontinuierlichen Lern- und Weiterentwicklungsprogrammen, der Erstattung von Studiengeb\u00fchren und Mentoring, um Ihr grenzenloses Potenzial auszusch\u00f6pfen \u2013 au\u00dferdem haben Sie die M\u00f6glichkeit, Ihre Lebensqualit\u00e4t durch unsere umfassenden, erstklassigen Leistungsangebote zu verbessern .</p> <p>Die Arbeit, die wir bei Qualcomm leisten, hat Auswirkungen auf das Leben rund um den Globus \u2013 und Sie k\u00f6nnen ein Teil davon sein. Bewerben Sie sich noch heute und entfalten Sie Ihr volles Potenzial..</p>"}}}, "customContent": {"positionSections": [{"title": "Unlock Your Limitless Potential with Qualcomm", "body": "<p>Whether you&rsquo;re launching a new career or ready to explore what&rsquo;s next in the evolution of your talent and expertise, you&rsquo;re about to embark on a career growth journey like no other.</p> <p><strong>Bring out your best, with the best<br /></strong>Our employees make Qualcomm&rsquo;s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. 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Learn more about how our culture of collaboration and robust benefits program allow our employees to live well and exceed their potential.", "recaptcha_enabled": 0, "companyName": "Qualcomm", "showLoggedOutNotificationsPrivacyPolicy": true, "hideEightfoldBranding": false, "customJobDescEnhancedTableGate": false}, "pid": "446706467055", "positions": [{"id": 446706467055, "name": "System Performance Engineer (CPU, GPU, AI/ML) for Automotive platforms", "location": "Bangalore, Karnataka, India", "locations": ["Bangalore, Karnataka, India"], "hot": 0, "department": "Systems Engineering", "business_unit": "57964 Automotive System Performance Team (SPT) BDC", "t_update": 1750723200, "t_create": 1750723200, "ats_job_id": "3077344", "display_job_id": "3077344", "type": "ATS", "id_locale": "3077344-en", "job_description": "A deep understanding of CPU, GPU and DDR architecture internals like CPU caches (L1, L2, L3), instruction pipelines, branch prediction, memory hierarchy (including register, cache, and main memory) and multi-core and multi-threaded processing. You need to understand how memory access, instruction dependencies, and contention for shared resources can impact performance. GPU: Understanding of parallel computing concepts, Knowledge of modern GPU architecture, including their memory hierarchies and performance bottlenecks. DDR: Understanding of JEDEC specifications LPDDR4, LPDDR5, LPDDR6, including command and timing parameters (e.g., ???, ????, tRP), memory organization (rows, columns, banks), and basic view of training and initialization sequences, how a memory controller works and its specific features like command queue, port arbitration, and various control schemes. Expertise how operating systems manage processes, threads, memory, MMU, and interrupt handling. This knowledge is crucial in understanding software for the kernel scheduler and system-level bottlenecks. Good understanding of Benchmarks CPU (like GeekBench, SpecInt, CoreMark etc), GPU (like Manhattan3.1, Aztec Ruins (Vulcan/OpenGL), Car chase, 3Dmark etc.) and DDR (like lat_mem, stream, bw_mem etc.) and how they exercise the underlying CPU/GPU/DDR architecture. Proficiency in reading and, in some cases, writing assembly code to understand the precise instructions a program executes and identify inefficiencies that compilers may miss. GPU-specific languages like CUDA or OpenCL are important for understanding GPU workloads. Good understanding C/C++/Python is added advantage. Experience with a variety of performance monitoring tools like Intel VTune, Linux perf, and Utilities like top, vmstat, iostat, and netstat to monitor system resources like CPU, memory, and I/O. Experience with software tools to monitor system hotspots, command bus utilization, and identify memory traffic patterns is critical. This includes validating that the traffic generated by software is as expected. Good understanding of memory allocation policies, prefetching, and caching to minimize latency and maximize bandwidth. Understanding how an application accesses memory is vital. Skills in profiling code to analyze memory access patterns and then optimizing the code for better data locality. Analyzing large datasets from performance tests requires strong statistical skills. This can involve creating histograms of transaction latencies and deriving performance metrics to understand a system's behavior. Experience working on above listed required skills on any ARM/x86 based platforms, mobile/automotive operating systems and/or performance profiling tools. Experience in application or driver development in LinuxQNX and ability to create/customize make files with various compiler options is a plus. Experience in creating professional quality reports and slides using MS Office or any advanced visualization tools. Experience in PoC development and competitive analysis Knowledge on Voltage/Power/ Thermal domain is plus. Keywords: Architecture Performance, CPU Architecture and Performance, DDR performance, System Performance, Benchmarks, Operating systems, Linux, QNX, Hypervisor, Application Development Drive Performance analysis on silicon using various System and Cores (i.e. CPU, GPU, Memory and AI/ML) benchmarks like Dhrystone, GeekBench, SPECInt, CNN/GenAI ML networks etc. Use of Performance tools to analyze the load patterns across IPs and identify any performance bottlenecks in system. Analyzing Perf KPIs of SoC subsystems like CPU, GPU, NSP, Memory, and corelate performance with projection Evaluate and characterize performance at various junction temperatures and optimize running at high ambient temperatures. 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