Senior Engineer II, GPU Kernel and Performance

· Remote

Location

Remote

Type

Full Time

Job Description

DigitalOceanJobs
Senior Engineer II GPU Kernel and Performance

Senior Engineer II GPU Kernel and Performance

Reposted 10 Hours Ago
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Seattle WA USA
In-Office
167K-209K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
The Senior Engineer 2 will lead performance optimizations in AI Inference focusing on architectural decisions benchmarking and complex GPU optimizations to enhance throughput and reduce latency for large models.
Summary Generated by Built In

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset naturally like to think big and bold and are energized by the fast-paced environment of a true industry disruptor you’ll find your place here.  We value winning together—while learning having fun and making a profound difference for the dreamers and builders in the world. 

DigitalOcean is seeking a Senior Engineer 2 to play a key technical role in our GPU Kernel and Performance team. DigitalOcean aims to be the Inference Cloud of choice for digitally native companies and you will help ensure we can offer the industry-leading performance for our inference services. You will be responsible for the architectural decisions that maximize throughput and minimize latency for the world’s most advanced large models. As an IC leader you will act as a force multiplier for the engineering organization solving the most complex bottlenecks in memory bandwidth and compute utilization while guiding the technical roadmap for our high-performance inference fleet.

What You’ll Do:
  • Kernel Engineering: Design and implement high-performance GPU kernels using Triton and CUDA C++.
  • Precision Optimization: Develop and deploy state-of-the-art quantization techniques (FP8 INT8 and experimental FP4) to double throughput without losing accuracy.
  • Memory Magic: Optimize memory access patterns (SRAM vs. HBM3e) to eliminate bottlenecks in long-context attention mechanisms.
  • Research to Production: Implement the latest architectural breakthroughs like FlashAttention-4 and TileLang directly into our production stack.
What You’ll Bring:
  • Low-Level Mastery: Deep understanding of GPU architectures (SMs Warp scheduling Tensor Cores).
  • The Toolkit: Expert-level Triton or CUDA. If you’ve contributed to the Triton compiler or wrote custom CUDA kernels for a major LLM we want you.
  • Math Foundation: Strong grasp of linear algebra and how it maps to parallel hardware.
  • Performance Obsession: A track record of optimizing kernels to achieve >80% of theoretical hardware peak performance.
Compensation Range: 
  • $167200 - $209000

*This is a hybrid role

JR: 2026-7593

#LI-Hybrid

Why You’ll Like Working for DigitalOcean
  • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team you will be a Shark who thinks big bold and scrappy like an owner with a bias for action and a powerful sense of responsibility for customers products employees and decisions.
  • We prioritize career development. At DO you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences training and education. All employees have access to LinkedIn Learning's 10000+ courses to support their continued growth and development.
  • We care about your well-being. Regardless of your location we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy to name a few. While the philosophy around our benefits is the same worldwide specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is based on market data relevant years of experience and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race religion color ancestry national origin caste sex sexual orientation gender gender identity or expression age disability medical condition pregnancy genetic makeup marital status or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Skills Required

  • 5+ years of experience in high-performance computing or AI infrastructure
  • Deep familiarity with Gen AI landscape
  • Hands-on experience with attention-layer optimizations and parallelization strategies
  • Comprehensive understanding of NVIDIA and AMD GPU architectures
  • Experience with integrating and contributing to open-source projects
  • Excellent system design skills for low-level GPU programming
  • Experience as a technical lead

What the Team is Saying

DigitalOcean Compensation & Benefits Highlights

  • Healthcare StrengthHealth coverage includes medical dental vision and mental-health support plus employer-paid life/AD&D/disability with multiple plan options and above-average employer contributions. Offerings are described as market-leading and in some cases fully paid to keep premiums low.
  • Equity Value & AccessibilityEquity awards (new-hire and performance RSUs) are paired with an Employee Stock Purchase Plan offered at a discount. This ownership component augments cash compensation and broadens participation in company growth.
  • Parental & Family SupportPaid parental leave is provided for a defined period and includes a structured part-time transition-back program. The approach emphasizes a smoother return-to-work experience for new parents.

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The Company
HQ: Broomfield CO
1400 Employees
Year Founded: 2012

What We Do

DigitalOcean is the Inference Cloud — a full-stack production-ready cloud platform built to run AI applications with predictable performance sustainable economics and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features but fewer failure modes when operating AI at scale — combining minimal operational overhead predictable cost efficiency and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute managed inference software and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.

Why Work With Us

At DO we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you recognize your impact and give you what you need to thrive. If you have a growth mindset like to think big and bold and are energized by the fast-paced environment you'll find your place here.

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Employees work remotely.

We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US we are mainly remote. In our APAC locations we have a hybrid in-office approach.

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Date Posted

06/02/2026

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