Member of Technical Staff - Backend Engineer - Data Systems and APIs

Vinci4d • Palo Alto, CA

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About The Position

We’re building a copilot for hardware. Software engineers have powerful AI tools. Hardware engineers still rely on workflows that take hours or days to simulate and iterate. Vinci is changing that.
Our platform combines AI, geometry processing, and physics simulation to help engineers validate designs dramatically faster than traditional tools. The system integrates foundation models with simulation engines to produce full-fidelity physical predictions in seconds instead of hours.
We’re a small team building infrastructure that connects AI models, large-scale simulation data, and production software used directly by engineers.

We’re looking for a backend engineer who enjoys building systems that sit between data infrastructure and real product features.
This role spans two major areas:
Data generation systems
Build pipelines that generate and process large datasets used for training and evaluating models
Manage simulation outputs, geometry data, and experiment artifacts
Develop tools for validating, transforming, and curating datasets
Product backend
Build and maintain APIs used by the Vinci product
Develop integrations with models, simulation engines, and external tools
Design services that support the core user workflows of the platform
You’ll work across the stack with ML engineers, physics researchers, and product engineers.

Requirements

• Experience building and operating production backend services
• Strong experience designing APIs and service architectures
• Ability to write clean, maintainable, well-tested code
• Experience debugging and improving performance, reliability, and observability
• Comfortable integrating external services, APIs, and internal models
• Ability to work across teams to translate product requirements into system design
• Experience building data pipelines or large-scale processing workflows
• Familiarity with batch processing, distributed systems, or workflow orchestration
• Experience managing large datasets and data transformations
• Comfort working with compute-heavy workloads and long-running jobs
• Experience deploying and operating systems in cloud environments (AWS, GCP, or similar)
• Familiarity with containerized services and modern deployment workflows
• Ability to design systems that balance throughput, latency, and cost

Responsibilities

• Build pipelines that generate and process large datasets used for training and evaluating models
• Manage simulation outputs, geometry data, and experiment artifacts
• Develop tools for validating, transforming, and curating datasets
• Build and maintain APIs used by the Vinci product
• Develop integrations with models, simulation engines, and external tools
• Design services that support the core user workflows of the platform

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed