As a Senior Software Engineer, you will develop efficient LLM inference software, collaborating with teams to optimize backend systems and conduct performance tests.
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:
As a member of the LLM inference team, you will help build state-of-the-art software with the goal of enabling LLM inference to become more efficient, scalable, and accessible. Are you interested in architecting and implementing the best inference stacks in the LLM world? Work and collaborate with a diverse set of teams involving resource orchestration, distributed systems, inference engine optimization, and writing high-performance GPU kernels.
Come join our team and contribute towards democratizing Machine Learning for the world!
Responsibilities:
- Write safe, scalable, modular, and high-quality (C++/Python) code for our core backend software.
- Perform benchmarking, profiling, and system-level programming for GPU applications.
- Provide code reviews, design docs, and tutorials to facilitate collaboration among the team.
- Conduct unit tests and performance tests for different stages of the inference pipeline.
Who you are:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Strong coding skills in Python and C/C++.
- 5+ years of industry experience in software engineering.
- Knowledgeable and passionate about machine learning and performance engineering.
Nice to haves:
- Solid fundamentals in machine learning and deep learning.
- Solid fundamentals in operating systems, computer architecture, and parallel programming.
- Research experience in systems or machine learning.
- Industry experience in building enterprise-scale large distributed systems.
- Experience with training, deploying, or optimizing the inference of LLMs in production is a plus.
- Experience with performance modeling, profiling, debugging, and code optimization or architectural knowledge of CPU and GPU is a plus.
We strongly encourage you to include sample projects (e.g. Github) that demonstrate the qualifications above.
For recent graduates, you can optionally submit your unofficial transcripts.
Benefits & Perks
- An open and inclusive work environment
- Employee stock options
- Best-in-class medical and dental benefits
- Parental Leave top-up
- 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++
Gpu
Python
Similar Jobs
Fintech • HR Tech
As a Senior Staff Software Engineer, you will design and develop RESTful APIs, mentor junior engineers, and lead technical projects for time management solutions.
Top Skills:
AWSAzureGCPGoJavaPythonRuby On Rails
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The role involves deploying machine learning models in banking, collaborating across teams, and leveraging advanced data techniques to drive product growth.
Top Skills:
Amazon Web ServicesGoogle Cloud PlatformPython
Fintech • HR Tech
The Principal Software Engineer will lead technical initiatives in Payroll Services, designing and building systems to improve payroll functionality, collaborating with multiple teams, and mentoring junior engineers.
Top Skills:
Ruby,Rails,Typescript,React,Ai,Machine Learning
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
