Software Engineer 2 - LLM Inference

Hungry, Humble, Honest, with Heart.

The Opportunity
When people talk about generative AI and other ML-powered solutions in today's conversation, they often refer to generative pre-trained transformers like ChatGPT that can respond to queries from a position of deep learning. A GPT-in-a-box solution removes the burden of building or implementing these AI solutions yourself. It also makes overcoming the complexity, inefficiency, and security challenges of generative AI and AI/ML applications easy. Nutanix simplifies your learning curve on AI-ready infrastructure with Nutanix Cloud Platform for AI (GPT-in-a-Box). This high-performant Machine Learning full-stack cloud platform helps you optimise IT costs with a software-defined cloud operating model. Harness AI-ready capabilities right out of the box, simplified to build, fine-tune, and run models, including GPTs and LLMs, while you continue to use existing teams and skills.
Join the Nutanix AI team, responsible for the magic behind the scenes.

About the Team:
The Nutanix Enterprise AI team is responsible for strategic product areas including LLM Inference and the AI Gateway. We are at the forefront of Nutanix's mission to simplify AI deployment, recently showcasing our Agentic AI platform at NVIDIA GTC and NEXT 2026. This team is fast-paced, globally distributed, and focused on building the foundational layers of the AI stack.

You will report to a seasoned Technical Manager who will provide mentorship and guidance as you navigate through your responsibilities. The work setup at Nutanix AI is a hybrid model, offering a blend of in-office collaboration and remote work flexibility. As a new hire, you will be expected to be in the office for 3 days a week, ensuring that you have the opportunity to engage with your team and foster strong working relationships.

Your Role: 

• Architect, design, and develop horizontally scalable, containerized, fault-tolerant services on Kubernetes.
• Improve the performance of systems to deliver for low-latency and high-throughput use cases.
• Optimize any part of the stack, including low-level systems.
• Leverage and contribute to relevant open-source cloud native projects.
• Develop scalable, efficient, and fault-tolerant observability architectures for collecting, analyzing, and reporting metrics for various platform services.
• Collaborate closely with globally located product management and backend development teams to deliver high-quality products in a fast-paced environment.
• Contribute to all stages of the product development cycle: technical design, development, test, experimentation, analysis, and launch.
• Be a team player by reviewing code and design docs, giving feedback on product specs and mocks, and documentation.
• Participate in an ongoing process definition and technology selection to ensure our technology stack is current with relevant trends.
• Continuously learn and improve your technical and non-technical abilities.

• What You Will Bring
• 2-5 years of experience developing maintainable, modular, resilient, fail-safe, and long-lasting code from a Product Development company.
• Have strong programming fundamentals, data structure, and algorithms.
• Strong experience in Docker, Kubernetes, and Cloud native technologies
• Experience building applications with Go and Python
• Experience building and managing CI/CD pipelines
• Strong understanding of datacenter design, including computing, storage, and networking.
• Familiarity with on-prem, cloud, and hybrid software deployment architectures
• Good experience in designing and tuning high-performance system software 
• Strong understanding of distributed computing and storage architectures
• Strong knowledge of OS internals, virtualization, application performance monitoring, compute storage, and networking management
• Familiarity with machine learning concepts and popular frameworks (like TensorFlow, PyTorch, etc) is a strong plus
• Experience with hardware accelerators, such as GPUs, is a strong plus.
• Experience working with large codebases or contributing to open source is a strong plus.
• Experience in building multi-tenant services on a virtualized infrastructure is a solid plus.
• Detail-oriented with a strong focus on quality, design, and user experience.
• Inquisitive and highly motivated self-starter and problem solver with a drive to integrate, communicate, and work well with large projects and teams.
• Track record of being reliable, responsible, and thorough.
• Bachelor's/Master's in Computer Science or equivalent work experience

Learn More About the Technology:  

Highlighted Benefits (Vancouver, Canada)
Retirement:   RRSP with dollar-for-dollar matching up to 7% of base salary
Mental Health:   Dedicated mental health coverage plus top-tier paramedical benefits
Family:   Fully paid maternity and parental leave and generous bereavement leave, including time for the loss of a pet
Equity:   RSUs and Employee Stock Purchase Plan at a 15% discount
Time Off:   Company holidays, sick days, company wellness days, and vacation starting at 10 days

Work Arrangement Hybrid:   This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Vancouver, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.

 
Pay Transparency -  Role Location The pay range for this position at commencement of employment is expected to be between CAD $128,800 and CAD $193,200 per annual.
However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

 
If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.

 

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