Job Details

Software Engineer (Platform Team)

Location: San Francisco, CA / Palo Alto, CA (Hybrid 4 Days/Week In Office)

Company Stage of Funding: Series B AI Infrastructure + GPU Marketplace + Cloud Platform

Office Type: Hybrid (San Francisco & Palo Alto)

Salary: $170,000 $250,000 Base

Equity: Competitive Equity Package

Bonus: Competitive Total Compensation

Visa: Transfers Supported

Company Description

Our client is building the infrastructure layer that makes GPU compute more accessible, efficient, and affordable for enterprises, AI startups, and researchers.

The platform enables organizations to access and allocate GPU capacity through intelligent marketplace and orchestration systems, helping customers scale AI workloads without the complexity of managing compute infrastructure directly.

Backed by leading investors and experiencing rapid growth, the company sits at the intersection of AI infrastructure, cloud computing, distributed systems, and marketplace technology.

The platform powers:

• GPU Capacity Allocation
• AI Infrastructure Orchestration
• Distributed Compute Systems
• Marketplace & Auction Infrastructure
• Capacity Reservation Systems
• Cloud Resource Management
• Enterprise AI Workloads
• Pricing & Allocation Engines
• Infrastructure Automation
• Developer Platform Services

Engineering challenges include:

• Distributed systems at scale
• Concurrency and race condition management
• Real-time marketplace infrastructure
• Capacity allocation algorithms
• Reservation and scheduling systems
• High-performance backend services
• Infrastructure reliability and resiliency
• Cloud platform architecture
• Production system scalability
• Operational excellence and observability

The company operates with a lean, high-impact engineering culture where engineers own critical systems and have direct influence on product and infrastructure decisions.

The culture values:

• Ownership
• Technical Excellence
• Reliability
• Speed
• Collaboration
• Product Thinking
• Operational Excellence
• Learning Velocity
• Pragmatism
• End-to-End Execution

What You Will Do

Build and evolve the core auction engine and bid management platform

Design systems that allocate GPU capacity using real-time marketplace dynamics

Own platform-level distributed systems and backend infrastructure

Develop reservation management and capacity allocation services

Design pricing and marketplace logic powering platform operations

Improve platform reliability, resiliency, and scalability

Solve concurrency, race condition, and distributed systems challenges

Build and maintain backend APIs and platform services

Contribute to CI/CD pipelines and deployment infrastructure

Manage cloud infrastructure and platform operations

Improve observability, monitoring, and operational tooling

Collaborate closely with engineering teams across supply and consumption systems

Participate in on-call rotations and production incident response

Build automation and operational tooling to reduce engineering toil

Ship features end-to-end from design through production deployment

Drive technical decisions across platform initiatives

Ideal Candidate Background

38 years of software engineering experience

Strong backend or platform engineering experience

Experience building and operating distributed systems

Experience maintaining production systems at scale

Strong understanding of concurrency and asynchronous systems

Experience solving race condition and reliability challenges

Strong Python engineering experience

Experience with PostgreSQL or relational databases

Experience working with cloud infrastructure

Strong software engineering fundamentals

Experience designing and shipping backend APIs

Strong debugging and production troubleshooting skills

Ability to work effectively in fast-moving startup environments

Strong ownership mentality

Excellent communication and collaboration skills

Comfortable participating in on-call rotations

Compensation & Benefits

Base Salary: $170,000 $250,000

Competitive Equity Package

Visa Transfers Supported

Opportunity to build foundational AI infrastructure

Significant ownership and autonomy

Direct exposure to company-wide strategic decisions

Small, high-impact engineering team

Strong product-market fit and rapid growth

Exposure to AI, cloud infrastructure, and distributed systems

Opportunity to shape the future of GPU compute infrastructure

Why Join

This is an opportunity to build the infrastructure layer powering the next generation of AI applications.

Rather than working on isolated services, you'll own systems responsible for allocating, orchestrating, and managing compute resources that power real-world AI workloads.

You'll work on distributed systems, marketplace infrastructure, allocation algorithms, platform reliability, and cloud-scale backend services while helping define the future of AI infrastructure.

The role offers a rare combination of platform ownership, distributed systems complexity, startup velocity, and meaningful technical impact.

If you enjoy building scalable backend systems, solving difficult infrastructure problems, and operating with high ownership, this role offers exceptional scope and career upside.