New

Staff Software Engineer, XR ML Optimization

665 Clyde Avenue, Mountain View, CA, USA

Lab Summary:

As part of MPS (Mobile Platform and Solutions) and SRA, you will be a member of the XR Core Team focusing on Software Performance Optimization for XR (AR, MR, VR) technologies, building the next generation head mounted devices (HMDs). We work on both commercial and next gen technologies that impact Samsung’s vision for XR.  As such you will be working on Software Performance optimizations using the HW/SoC capabilities, meeting the KPIs to launch commercial-level products.

Come join the Samsung MPS team and be a leader in bringing futuristic services to life!

Position Summary:

The XR ML Optimization Engineer will work with the partners, the XR teams in MPS and other Samsung subsidiaries, to successfully launch the XR devices.  You will analyze the algorithms and workloads, identifying performance bottlenecks at application, driver and the hardware levels, with the goal of improving the performance, power and SoC utilization.  You will identify the key use-cases and decompose them at the system, driver and NPU levels. You will explore and implement more efficient algorithms, driver enhancements, OS optimizations, application-level improvements.

Position Responsibilities:

  • Analyze XR workloads to identify bottlenecks in both hardware and software components
  • Propose new HW/SW co-optimization methodologies to optimize performance and power of XR devices
  • Suggest innovative co-optimization ideas to our software engineers and hardware vendors
  • Assist hardware vendors in developing optimal kernels and compilers to process critical XR applications
  • Analyze performance estimates for different hardware configurations and kernels
  • Work with internal SW engineers to understand their vision and needs from high performance computing cores
  • Manage communication and coordination with internal and external partners
  • Build simulations and performance models for efficient decision making

Required Skills:

  • Bachelor’s or Master’s or PhD in Computer Science/Engineering with specialization in Computer Architecture, Compliers, Parallel Computing, or equivalent combination of education, training, and experience
  • 8+ years of experience in software/hardware co-design & optimization with the knowledge of the SoC hardware
  • Deep understanding of CPU, GPU, DSP, Deep Learning Accelerators (NSP/NPU) architectures, system programming and optimization of Multimedia/CV/ML algorithms on hardware acceleration cores using C/C++ and Python
  • Strong knowledge of computer architecture, memory subsystem, parallel computing and compilers
  • Good understanding of ML compute and chip microarchitecture
  • Familiarity and hands-on experience with various system analysis tools used for memory, performance analysis and hardware resource management for optimization and stability
  • High proficiency in architecture analysis and performance modeling, ranging from simple analytical models to complex cycle accurate performance model and correlation, especially around GPU and NPU
  • Expertise in methods for partitioning a solution across hardware and software within an overall systems solution
  • Understanding of deep learning algorithms and experience with ML tuning and refinement with ML libraries & frameworks such as PyTorch, Tensorflow, ONNX, Caffe
  • Good knowledge of Android/mobile frameworks and Linux/RTOS kernels
  • Solid foundation in software development and related tools
  • Strong teamwork, communication skills, passion, productivity, and self-learning ability
  • Proven ability to work in a dynamic, multi-tasked environment

 

Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.

Base Pay Range

$158,800 - $218,100 USD

Additional Information

Disclosure of Trade Secrets

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.

Essential Job Functions

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.

Equal Employment Opportunity

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

Samsung Research America is committed to employing a diverse workforce, and  provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency

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