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Compiler Engineer

San Francisco, California
US$250000 - US$450000 per annum
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COMPILER ENGINEER
AUTOMOTIVE
BAY AREA, CA (REMOTE OPTIONS)
$250,000 - $350,000

THE COMPANY
This well-established company based in California has made some of the most advanced technologies for autonomous vehicles. They have received an immense amount of support and attention around the country and are growing rapidly.

THE ROLE - Compiler Engineer
In this role, you will be developing the tool chain projects using LLVM and working cross-functionally with several other teams on a daily basis

  • You will be working on tool chain projects with LLVM and GPU
  • You will be working with parallel systems and ML/DL models
  • You will be developing and improving the performance of accelerators
  • You will be working with optimization models

YOUR SKILLS AND EXPERIENCE

  • MSc or PhD, preferably with a focus in compiler engineering
  • At least 2 years of commercial experience as a compiler engineer and working on tool chain projects
  • Skilled in LLVM and working with GPUs
  • Experience working with machine learning and deep learning models

BENEFITS
As a Compiler Engineer, you can expect to earn up to $350,000 (depending on experience) along with competitive benefits.

HOW TO APPLY
Please register your interest by sending your resume to Annie Nasharr via the apply link on this page

KEYWORDS:
autonomous vehicles, autonomy, deep learning, machine learning, compiler engineer, compiler engineering, tool chain projects, LLVM, C++, Python, algorithms, optimization, hardware, architecture, robotics, CUDA, GPU, CPU, parallel systems

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101978/AN1227
San Francisco, California
US$250000 - US$450000 per annum
  1. Permanent
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Four Ways Advanced Analytics Drives Business Forward

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Charles Austin

Charles Austin

21. January 2021

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Back To Basics In The Business Of Data Science

Though COVID-19 and the US Election still dominates the news, there’s a lot going in the world of Data Science, too. 2020 ramped up efforts in the healthcare industry to combat the pandemic. Cybersecurity is entering a renaissance of sorts as we tackle the misinformation age, but there’s some fun stuff, too. Here a few Data Science trends finding foundation and leverage in 2021. Businesses Kick Data Science into High Gear To stay viable, businesses are kicking their Data Strategy into high gear. From the top down, there will be an estimated increase of Chief Data Scientists to help businesses make critical business decisions from e-commerce to SaaS. Trajectory of Data Analysts Upskilling to Data Scientist  Once relegated to sampling bits of data and leaving others to break it down into workflow, Data Scientists could see a boost of responsibility. The demand for soft skills, upskilling, and cross-training could reduce the need to have Machine Learning and Data Engineers process empowering the Data Scientists to do more. Breaking the Mold With businesses and education moved online, businesses will be challenged to keep employees engaged. Training and education are now available to employees and would-be Data Scientists at home for on-the-job training as they face new technologies being developed, use new tools, and lessened demand on the college degree, but the experience in applying what’s been learned. Machine Learning Gets Smarter AI and Machine Leaning applications will focus on charting algorithms to understand cause-and-effect. But it won’t happen overnight. Teaching and testing machines is intense and time consuming. These technologies might present probability, but can’t determine definites. Yet.  Applying Machine Learning strategies to business problems through systems will focus businesses on finding solutions rather than focusing on building products that aren’t in their wheelhouse. Adding neuroscience and computational neuroscience into the mix for Machine Learning will see these fields grow. Ultimately, Machine Learning and AI are estimated to be the final piece in the puzzle when it comes to Data Science strategies for a variety of industries.  Back to Basics As everyone gets organized in their new ways of doing business, Data Scientists are getting back to basics. Their solving big problems with better tools, technologies, and open-source information now available. The push for open access scientific and medical journals along with the global team environment offers a variety of ways in which Data Scientists can come together to focus on problems more efficiently than anyone else. In other news, projects such as the new James Webb Telescope, the open access drive for scientific and medical journals, and the latest space race information, Data Scientists have been busy getting these projects off the ground as well. Though 2020 took us by surprise in so many ways, we took what we had and ran with it. So, as we enter 2021, we’re on a unique footing from Machine Learning and AI to Data Science with the added boost of nuero-and computational science to employ every tool at our disposal. Businesses have ramped up their efforts and are empowering the professionals in the Data Strategy teams to help them make critical business decisions with an eye toward the future. Data Scientists are getting back to basics while leveraging their skillsets from open access, online education sources, and on-the-job training to solve the big problems we face. And of course, while we have our eyes on the sky when it comes to space exploration this year and our feet on the ground as we work to vaccinate populations against COVID-19, and Chief Data Scientists split their focus to improve business bottom lines, we know demand will remain high for those in the Data industry. If you’re interested in Data & Analytics, Harnham may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more.  For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.

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