Solutions Engineer

Posted 2 Days Ago
Hiring Remotely in USA
Remote
Entry level
Machine Learning • Software
The Role
As a Solutions Engineer, you'll analyze customer requirements and help develop strategic solutions. Your role will involve supporting product demonstrations, collaborating on customer engagement materials, and applying technical concepts related to AI and machine learning. This position provides hands-on experience and learning opportunities in solutions engineering.
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

As a Solutions Engineering at CentML, you will have the opportunity to work closely with our team to understand customer needs and help craft innovative solutions using our products. You'll collaborate with sales, product, and engineering teams to support customer engagements and contribute to demonstrations, interactive labs, and proof-of-value (POV) exercises. This role offers hands-on experience in bridging customer requirements with cutting-edge technology, providing a foundation for a career in AI and solutions engineering.

What you’ll do

  • Assist in gathering and analyzing customer requirements to contribute to strategic solutions.
  • Support the preparation and execution of product demonstrations and proof-of-concept (POC) exercises.
  • Collaborate with team members to develop materials and assets for customer engagements.
  • Learn and apply technical concepts related to AI and machine learning in practical scenarios.
  • Contribute to the improvement of pre-sales processes, including the organization of demo and lab environments.

What you’ll need to be successful

  • Currently pursuing a degree in Computer Science, Data Science, Physics, Engineering, or a related field.
  • A strong interest in AI and machine learning technologies.
  • Experience in programming (e.g., Python, Swift, Bash, or similar).
  • Strong problem-solving skills and attention to detail.
  • Eagerness to learn and collaborate in a team-oriented environment.
  • Good communication skills, with an ability to explain technical concepts clearly.

Bonus points if you have

  • Experience running workloads on GPU 
  • Experience working with LLM’s

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

Bash
Python
Swift
The Company
HQ: Toronto, Ontario
50 Employees
On-site Workplace
Year Founded: 2022

What We Do

We pioneer novel technology to enhance computing efficiency, making AI accessible for innovation and to benefit the global community.

We believe honesty builds integrity, honing craftsmanship delivers excellence, and collaboration fosters community.

Why Work With Us

Our journey began in the esteemed Efficient Computing Systems lab at the University of Toronto, under the leadership of our CEO, Gennady Pekhimenko. Today, the EcoSystems lab stands proudly as one of the world’s foremost authorities in Machine Learning Systems.

Our founding team is made up of experts in AI, ML compilers and ML hardware and has led

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