Compiler Verification Engineer

Posted 24 Days Ago
Be an Early Applicant
Toronto, ON
Hybrid
3-5 Years Experience
Machine Learning • Software
The Role
Analyzing and resolving performance issues in compilers, automating testing processes, collaborating with engineers, and driving improvements in testing frameworks. Requires expertise in C/C++, CUDA, and scripting languages.
Summary Generated by Built In

About Us

We believe AI will fundamentally transform how people live and work. CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benefit from its potential.


Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.


About the Position

Are you passionate about compilers and eager to tackle complex performance challenges? Join our innovative team and play a critical role in enhancing our compiler technology! We’re looking for a talented individual to analyze and resolve performance issues, automate testing processes, and collaborate with top-tier engineers. If you thrive in a dynamic environment and possess strong problem-solving skills, this is the perfect opportunity for you. With your expertise in C/C++/CUDA and scripting languages, you’ll drive significant improvements in our testing frameworks and processes. Be a key player in shaping the future of compiler development and enjoy a rewarding career with ample opportunities for growth and learning. Apply now and take the next step in your professional journey!

What you’ll do

  • Analysis: Analyze performance degradation or functional defect of compilers, identify regression root cause, suggest corrective action, and perform reviews to continuously improve testing.
  • Test Automation: Automate compiler testing using test frameworks and by programming. Includes test execution, test reporting, and results analysis and automation of build and test environments. Work with compiler developers and assist in providing automated solutions for unit testing.
  • Test Operations: Utilize test suites to find, report and track compiler performance changes. Work with the engineering team to drive regressions to resolution. Generate statistics based on performance data, identify and investigate outliers and monitor performance trends. Maintain historical data and baselines for comparison.
  • Compiler Test Development: Develop and review test plans, implement test cases, automate tests, integrate tests, port 3rd party testing, and author test reports. May include integrating already existing tests into the compiler test automation.
  • Process Improvement: Utilize current iterative planning and test development processes. As part of team, identify potential or observed weaknesses in the current process, offer ideas for actions that can improve quality, and participate in quality initiatives.

What you’ll need to be successful

  • Bachelor’s or Master’s Degree or equivalent experience.
  • 3+ years’ work experience in a software development or test organization. Talented and motivated new college graduates will be welcome too.
  • Compiler Domain Expertise: You should understand how compilers work and how compilers are implemented. Proven strength in problem-solving and implementing solutions.
  • Ability to work with various teams to generate a solution for performance regression be productive under tight schedules, and have strong analytical skills with attention to detail.
  • Be able to apply existing skills to new situations. Break large problems into smaller problems and further triage difficult performance regressions.
  • You have experience writing test plans, test development, test automation, test execution, and reporting in a production environment.
  • Programming Languages: Have experience programming and/or testing in C/C++/CUDA as well as scripting languages (Python, Perl, Shell)
  • Excellent communication skills, self-motivated and well-organized.

Bonus points if you have

  • Extensive experience testing production software. Preferably compiler or other system software.
  • Previous compiler development and/or compiler verification/test or performance analysis experience.
  • Experience with Docker containers, Kubernetes, or similar systems.
  • Experience with NVIDIA CUDA Toolkit, especially solving issues and debugging in Linux environment.
  • Knowledge of deep learning frameworks such as Caffe, TensorFlow, Pytorch, as well as many other deep learning applications, will be a plus.

Benefits & Perks

- An open and inclusive work environment

- Employee stock options

- Best-in-class medical and dental benefits

- Parental Leave top-up for 6 months

- Professional development budget

- Flexible vacation time to promote a healthy work-life blend


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. 


CentML strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. 


Inclusiveness is core to our culture at CentML, and we strive to ensure you get the most from your interview experience. CentML makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

Top Skills

C,Cuda
The Company
HQ: Toronto, Ontario
34 Employees
On-site Workplace
Year Founded: 2022

What We Do

We offer an optimization platform for ML Training. Using our platform, you significantly save on your training costs for small and gigantic models.

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