REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Forward Deployment Engineer (Embedded AI / Systems Engineer)
XX
Senior Engineer 2: AI Inference Engine SystemsDigitalOcean • San Francisco, California, United States
Jetzt Bewerben
XX

Senior Engineer 2: AI Inference Engine Systems

DigitalOcean
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Jetzt Bewerben

Über

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 expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a
Senior Engineer 2
to join our
AI Inference Data Plane
team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands‑on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents.
What You’ll Do
Technical Leadership: Act as a technical leader on the team, driving the end‑to‑end design, development, and delivery of critical data plane components hosting large generative AI models.
System Design: Architect and refine system design proposals for our high‑scale, multi‑tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
Performance Optimization: Implement and optimise distributed inference hosting using techniques like tensor/data parallelism, KV cache optimisations, and smart routing.
Collaboration: Work cross‑functionally with Product Managers, customer‑facing teams, and other engineering teams to align technical roadmaps with customer needs.
Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
Operational Excellence: Maintain and operate critical, high‑scale services, utilising observability tools and defining SLOs to ensure superior platform health.
What You’ll Bring To DigitalOcean
Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
AI/ML Domain Knowledge: Hands‑on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm‑d, NVIDIA Dynamo, or Ray Serve.
Hardware & Interconnects: Understanding of GPU‑level optimisation and experience with interconnect technologies like NVlink, XGMI, or RoCE.
Architecture Proficiency: Knowledge of common LLM architectures and optimisation techniques (e.g., continuous batching, quantisation).
Software Engineering: Expert‑level proficiency in GoLang or Python and familiarity with gRPC.
Cloud Operations: Proven experience shipping customer‑facing software products and running critical services in a high‑scale environment similar to DigitalOcean.
Open Source Mindset: Experience integrating and building with open‑source software.
Compensation Range
$167,200.00 - $209,000
This is a remote role
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 prioritise 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 organisational 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 10,000+ 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, colour, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
#J-18808-Ljbffr
  • San Francisco, California, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.