Technical Success Engineer
Lambda · Remote · Remote, USA ·
COMPENSATION
$214k – $285k
Listed on the employer's job board (Ashby)
- Fully remote
- Senior level (4+ years)
- GPU & HPC focus
- Kubernetes & Linux
- AI Cloud Infrastructure
As a Technical Success Engineer at Lambda, you will manage the technical deployment lifecycle for large-scale AI customers. You are responsible for taking signed contracts and turning them into fully operational production environments by validating configurations and resolving technical blockers.
You will act as the primary technical contact during onboarding, working closely with infrastructure and engineering teams to ensure customer requirements are met. The role requires deep technical knowledge of GPU infrastructure and strong communication skills to keep stakeholders informed.
What you'll do
- Validate deployment configurations, connectivity, storage, and compute against contractual promises
- Troubleshoot technical issues in networking, storage, or compute layers during setup
- Coordinate with Engineering, Product, and Data Center teams to resolve dependencies
- Maintain an accurate technical view of deployment status, risks, and open items
- Provide regular status updates including RAG status and mitigation plans to stakeholders
- Guide customers through onboarding until their first production workload is successful
- Create reusable runbooks and checklists based on recurring technical patterns
- Transition account ownership once the customer environment is stable and self-sufficient
What you'll need
- At least 4 years of hands-on experience with GPU/HPC infrastructure or cloud platforms
- Proficiency with Kubernetes and large-scale Linux systems administration
- Ability to validate builds and hold engineering teams accountable for fixes
- Strong troubleshooting instincts for complex networking and storage issues
- Proven track record of coordinating across multiple technical teams
- Clear written and verbal communication skills for documentation and updates
- Self-starter mindset with a bias toward taking ownership of ambiguous problems
Nice to have
- Experience with large-scale GPU cluster deployments
- Familiarity with project tracking tools and structured reporting
- History of building durable runbooks or automation scripts
Stack
- GPU
- HPC
- Kubernetes
- Linux
- Cloud Platforms
What you get
- Cash and equity compensation package
- Health, dental, and vision coverage for dependents
- Wellness and commuter stipends for eligible roles
- 401k Plan with 2% company match for USA employees
- Flexible paid time off policy