Lambda Logo

Lambda

Senior Software Engineer - SI Partnership

Posted 6 Days Ago
Be an Early Applicant
In-Office
3 Locations
255K-445K Annually
Senior level
In-Office
3 Locations
255K-445K Annually
Senior level
Build and enhance Lambda Cloud features, collaborating across teams, maintaining APIs, and ensuring production quality while managing incidents and releases.
The summary above was generated by AI

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What The Role is About

SI Partnership is Lambda’s missing function team. We’re a part of the Product Engineering organization — we work on customer-facing APIs and UIs, contribute to Lambda’s core product offerings and developer tooling. SI Partnerships charter is to enable world’s largest Superintelligence companies to successfully integrate their workloads on Lambda’s platform, and make all our tooling and improvements available to all Lambda’s enterprise customers as part of our core Cloud Platform.

You’ll find yourself working directly with engineering and business teams across Lambda and our largest customers, on the cutting edge features that the industry at large is just starting to figure out.

What You’ll Do

  • Build end to end features for Lambda Cloud.

  • Contribute both frontend and backend code to existing and new features.

  • Collaborate with Lambda Product Engineering, Platform, and Infrastructure teams to deliver solutions that cut through the stack.

  • Work with a team of Product Managers to design, scope, and deliver features that are critical to our most important customer success, without compromising on our product quality.

  • Collaborate with Lambda Support and other Operations teams to deliver the best possible experience for our customers.

  • Partner directly with superintelligence customer’s engineering teams.

  • Own production features and systems, participate in incident response rotations. Design and implement observability and maintenance processes for the new features we build.

You

  • Experience in modern web application frontends: responsive web apps using TypeScript, React (or equivalent experience in Vue or Svelte), HTML and CSS, and Vite.

  • Backend experience: Business-critical services using Python, Unix/Command line, Django or FastAPI, Postgres.

  • Proven experience owning complex features end to end, from defining the problem with Product, to GA release and measuring success criteria, in highly ambiguous environments, under tight deadlines.

  • Proven experience to communicate trade offs in scoping and timelines.

  • Experience designing, implementing, and maintaining developer-facing APIs and documentation.

Additional Core Experience

  • CI/CD: Automation around testing and deployment

  • Reliability & Observability: Logging, alerting, and building highly available systems

  • Cloud Native Services: AWS, Okta, Cloudflare, etc.

Nice-to-Haves

  • Experience with Kubernetes

  • Infrastructure as Code (Terraform, Atlantis, Crossplane, etc.)

  • Experience in ML, AI, or data science

  • Application security and web hardening

  • Engineering leadership or mentorship experience

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

  • Founded in 2012, with 500+ employees, and growing fast

  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • Our values are publicly available: https://lambda.ai/careers

  • We offer generous cash & equity compensation

  • Health, dental, and vision coverage for you and your dependents

  • Wellness and commuter stipends for select roles

  • 401k Plan with 2% company match (USA employees)

  • Flexible paid time off plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Top Skills

AWS
Cloudflare
CSS
Django
Fastapi
HTML
Okta
Postgres
Python
React
Typescript
Unix
Vite

Similar Jobs

A Minute Ago
In-Office
Seattle, WA, USA
173K-200K Annually
Senior level
173K-200K Annually
Senior level
eCommerce • Fintech • Payments • Software • Financial Services
Lead strategy and execution for the Identity and Trust Intelligence platform, focusing on data-driven risk and fraud prevention while collaborating across teams.
Top Skills: AIAPIsData SystemsMl
2 Hours Ago
Hybrid
Marysville, WA, USA
23-31 Hourly
Entry level
23-31 Hourly
Entry level
Fintech • Financial Services
As a Personal Banker, you will provide exceptional customer service, assist with account-related tasks, and build relationships to help customers succeed financially.
6 Hours Ago
In-Office or Remote
Seattle, WA, USA
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Machine Learning Engineer, you will define search metrics, optimize retrieval paths, and investigate search-quality issues to enhance operational excellence.
Top Skills: Data EvaluationEmbedding ModelsMachine LearningOptimizationRegression TestingRetrieval MetricsSearch Algorithms

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account