Engineering Manager, CentML
Platform
+ Employee stock options
Machine learning training platform
Be an early applicant
Machine learning training platform
21-100 employees
Be an early applicant
+ Employee stock options
21-100 employees
Company mission
To pioneer novel technology to enhance computing efficiency, making AI accessible for innovation and to benefit the global community.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Background in software engineering, with significant experience in building and scaling products
- Deep proficiency in programming languages such as Python, Go, C++, or Java, with strong experience in algorithms, data structures, and system design
- Solid understanding of front-end technologies (e.g., Typescript, Javascript) and frameworks (e.g., React, Vue, Angular) would be a plus
- Ability to collaborate closely with design teams to translate UI/UX wireframes into functional front-end code
- Extensive experience with software development tools, frameworks, and methodologies, including version control, CI/CD pipelines, and code review processes
- Familiarity with ML frameworks (e.g., TensorFlow, PyTorch.)
- Deep understanding of distributed systems, cloud computing, and large-scale infrastructure
- Ability to inspire, mentor, and grow a high-performing engineering team in a fast-paced startup environment
- Strong organizational skills and the ability to manage multiple projects simultaneously
- Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders
- Strategic thinking and problem-solving skills, with a focus on achieving long-term business goals
What the job involves
- As an Engineering Manager, you will play a critical role in leading and scaling our engineering team, overseeing the development of our Platform - a unified solution that powers cost-efficient, large-scale ML training and inference on GPU clusters across multiple cloud providers
- This is a player-coach role: you'll spend approximately 50%+ of your time designing and coding, while leading a small, high-caliber team
- Design, build, and review critical full-stack Platform components, ensuring high quality across both front-end and back-end systems
- Work with engineering and product teams on the technical direction of Platform, making strategic decisions about architecture, tools, and processes to ensure scalability, performance, and reliability
- Lead, mentor, and grow a team of talented engineers, fostering a culture of collaboration, innovation, and continuous improvement
- Provide technical guidance and career development support to team members, helping them achieve their professional goals
- Oversee the planning, execution, and delivery of complex projects, ensuring they are completed on time, within scope, and meet high-quality standards
- Collaborate with product management, research, and other cross-functional teams to define project requirements, establish priorities, and set realistic timelines
- Drive a quality-first mindset across engineering, product, and design efforts, balancing technical innovation with intuitive, user-centered experiences and ensuring every deliverable meets high standards of performance, scalability, and usability
Our take
In an increasingly AI and ML-driven world, the demand for these technologies is skyrocketing, alongside their costs, leaving numerous companies without access to tools that could enhance their operations. CentML emerges as a solution, aiming to democratize AI and ML by making them more accessible and cost-effective for all.
Backed by a team with extensive expertise in AI, ML compilers, and ML hardware, CentML possesses a deep understanding of the inefficiencies prevalent in the industry. Among the challenges it addresses is the scarcity of AI chips. By meticulously analyzing clients' AI/ML requirements, CentML advises on suitable hardware options to optimize performance and minimize costs.
With its inception in 2022, CentML has swiftly garnered attention and funding, underscoring the market's appetite for its offerings. Recent funding will enable the company to further refine its product and conduct pivotal research in the field, solidifying its position as a pioneering force in democratizing AI and ML technologies.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2023
$26.5m
SEED
Jun 2022
$3.5m
SEED
Total funding: $30m
Company benefits
- An open and inclusive culture and work environment
- Fully stocked kitchen at the office
- Full health and dental benefits
- Parental Leave top-up for 6 months
- Continuous education budget
- Generous vacation - we're not saying unlimited, but if you need extra time to recharge, just ask
Company HQ
Yonge-Bay Corridor, Toronto, ON
Leadership
Gennady Pekhimenko
(Co-Founder & CEO)Also an Associate Professor at the University of Toronto, a Faculty Member at Vector Institute, and a Research Co-Chair at MLCommons.
Shang Wang
(Co-Founder & CTO)Graduate Student Researcher at Vector Institute. Previously a Senior Software Engineer at Nvidia.
Akbar Nurlybayev
(Co-Founder & COO)Prior work includes Director of Engineering (Data Platform) at KAR Global and Software Development Manager at TradeRev.
Anand Jayarajan
(Co-Founder)Previously a Research Fellow at the Indian Institute of Technology, and a Software Development Engineer at Flipkart.
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