Modular Logo

Modular

Software Engineer, Cloud Inference

Posted 5 Days Ago
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
The Software Engineer in Cloud Inference will work on designing and implementing distributed large language model inference systems. Responsibilities include collaborating with product and engineering teams, achieving high-performance outcomes, and developing cloud services and software tools for AI applications.
The summary above was generated by AI
About Modular

At Modular, we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building cutting-edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we’re empowering everyone to unlock AI’s full potential and tackle some of the world’s most pressing challenges.

If you’re passionate about shaping the future of AI and creating tools that make a real difference in people’s lives, we want you on our team. You can read about our culture and careers to understand how we work and what we value.

About the role:

In the Cloud Inference team, we are focused on building end to end distributed LLM inference deployments that are fully vertically integrated with the MAX stack.

We are looking for candidates based on their breadth and depth of experience in backend engineering, AI inference, and distributed systems development. If this sounds exciting, we invite you to join our world-leading AI infrastructure team and help drive our industry forward!


LOCATION: Candidates based in the US or Canada are welcome to apply. You can work out of our office in Los Altos, CA or remotely from home.


What you will do:

  • Work with Product and partner engineering teams to design and ship new inference server features
  • Collaborate with our kernels and genAI teams to achieve SOTA performance at the serving layer
  • Help design and develop helm charts and cloud services for scaled LLM inference (intelligent routing, distributed kvcache management, disaggregated inference, etc.)


What you bring to the table:

  • 5+ years of experience working in backend engineering
  • Experience working on high scale ML inference infrastructure (traditional AI or genAI)
  • Experience with kubernetes
  • Familiarity with HuggingFace API and workflows for using community models
  • Ability to create durable, reusable software tools and libraries that are leveraged across teams and functions
  • Experience in machine learning technologies and use cases
  • Creativity and curiosity for solving complex problems, a team-oriented attitude that enables you to work well with others, and alignment with our culture
  • Strongly identifies with our core company cultural values.


Helpful but not required:

  • Experience building ML models in PyTorch
  • Familiarity with modern C++
  • Some experience with and interest in Mojo, our AI programming language!




The estimated base salary range for this role to be performed in the US, regardless of the state, is $166,500.00 - $286,000.00 USD. 
The estimated base salary range for this role to be performed in Canada, regardless of the province, is $158,000.00 - $270,000.00 CAD.
Th
e salary for the successful applicant will depend on a variety of permissible, non-discriminatory job-related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of your total compensation.

For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have openings that are lower/higher level than the ones advertised. 


What Modular brings to the table:
  • Amazing Team. We are a progressive and agile team with some of the industry’s best engineering and product leaders.
  • World-class Benefits. In order to attract the best, we need to offer the best. Premier insurance plans, up to 5% 401k matching, flexible paid time off, and more are available to you! Please note that specific benefit packages may vary based on your location.
  • Competitive Compensation. We offer very strong compensation packages, including stock options. We want people to be focused on their best work and believe in tailoring compensation plans to meet the needs of our workforce. 
  • Team Building Events. We organize regular team onsites and local meetups in different cities.

Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world.

Modular is proud to emphasize an equal opportunity, safe environment for people to do their best work. Modular is an affirmative action employer. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you require reasonable accommodations to participate in the interview process, please let your recruiter know, and we will work with you to meet your needs in compliance with the ADA.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

Top Skills

Kubernetes
PyTorch

Similar Jobs

2 Days Ago
Remote
8 Locations
Mid level
Mid level
Fintech • Payments
As a Senior Software Development Engineer, you will design, develop, and maintain cloud-native solutions with a focus on API interfaces for fuel card platforms. Key responsibilities include collaborating on architecture, writing high-quality code, troubleshooting issues, and staying updated on industry best practices.
Top Skills: Java
2 Hours Ago
Easy Apply
Remote
Ontario, ON, CAN
Easy Apply
Senior level
Senior level
Marketing Tech • Mobile • Software
As a Senior Software Engineer at Braze, you will join the WhatsApp team to build and scale messaging capabilities within the product. Responsibilities include developing new features, enhancing system performance, and making important architectural decisions. You will also address engineering challenges related to system resilience and scalability.
Top Skills: RubyTypescript
2 Hours Ago
Remote
Toronto, ON, CAN
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As a Staff Software Engineer for the Franchise Suite, you will lead technical strategy and mentorship, refactor systems, and develop new services with a focus on reliability and scalability while collaborating closely with various teams.
Top Skills: JavaNestjsNode.jsReactReact NativeTypescript

What you need to know about the Calgary Tech Scene

Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account