Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
Home View All Jobs (2,307,365)

Job Information

Google Senior Software Engineer, Tensor Processing Units Compiler in London, United Kingdom

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.

  • Candidates will typically have 5 years of experience working with Compute Unified Device Architecture (CUDA) C++ application development.

  • Typically 3 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning, or natural language processing.

  • Typically have 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

  • Typically have 2 years of experience with data structures or algorithms.

  • Typically 2 years of experience with Native Code, Just-In-Time (JIT), Cross, Source-to-Source, or any other type of compilers.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.

  • Experience with debugging correctness and performance issues at all levels of the stack.

  • Experience with optimizations in mid-level and low-level architecture.

  • Experience with hardware/software co-design.

  • Experience with optimizing software for x86 or ARM CPUs, including familiarity with AVX or ARM NEON.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Our team builds the compiler which enables Tensor Processing Units (TPUs), Google's in-house custom designed processor, to accelerate machine learning and other scientific computing workloads for both internal Google customers and external Cloud customers. The team offers opportunities up and down the compiler stack, working on Low Level Virtual Machine as well as the Multi-Level Intermediate Representation middle-end.

In this role, you'll be working on the MLIR/LLVM based TPU compiler for TPUs. You will support new workloads, optimize for new models and new characteristics, as well as support new TPU hardware across multiple generations.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

  • Evaluate and improve the performance of ML models end-to-end, and identify key performance bottlenecks both on the TPU device and the host.

  • Develop novel compiler optimizations that provide performance wins to end users.

  • Implement compiler support for new TPU hardware features.

  • Contribute to hardware/software co-design of future TPUs.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

DirectEmployers