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

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

• 3–8 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

Strong Signals

Platform & Distributed Systems Signals

• Built and scaled distributed systems in production

• Experience with marketplace, auction, or exchange systems

• Strong concurrency and async programming expertise

• Infrastructure ownership experience

• Reliability and resiliency engineering experience

• Experience operating critical platform services

Engineering Signals

• Strong Python expertise

• PostgreSQL experience

• Kubernetes experience

• Docker experience

• AWS or GCP experience

• Terraform experience

• Experience designing backend APIs

• Strong system design fundamentals

Startup Signals

• Early-stage startup experience

• Series A–C startup experience

• Small team ownership experience

• Demonstrated ability to operate autonomously

• Significant ownership of technical systems

• Experience building infrastructure from the ground up

Bonus Signals

• Marketplace infrastructure experience

• Auction engine experience

• Pricing system experience

• Resource allocation algorithms

• Scheduling systems experience

• Infrastructure automation expertise

• Open source contributions

• Strong operational mindset

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.