Vinci4D.ai
Backend Infrastructure Engineer
Palo Alto HQ
Sponsorship not specifiedDetected 6 days ago
PythonC++Backend DevelopmentAWSGCPAzureCloud PlatformsDockerKubernetesTerraformCI/CDJenkinsMachine LearningPyTorchNumPyManual TestingResearchLeadership
About the role
- To get there, we need the backend and infrastructure that lets our research move to production reliably, repeatably, and at scale.
- GROWTH & OPPORTUNITY This is a unique opportunity for technical and professional growth.
- You will help define a foundational abstraction layer early in the company's trajectory.
Responsibilities
- Design, build, and operate the backend services and infrastructure that power Vinci's simulation and inference platform.
- Own infrastructure-as-code with Terraform across our cloud environments, provisioning and managing services reliably and repeatably.
- Maintain and evolve our build systems (CMake, pip/uv) across large Python and C++ codebases.
- Partner closely with Physicists, AI researchers, Software Engineers, and Computational Geometry experts to turn research into dependable systems.
- Build systems: comfortable with build tooling such as CMake and Python packaging via pip/uv.
- Support global, multi-entity deployment across Tier-1 ecosystems
- comfortable with build tooling such as CMake and Python packaging via pip/uv.
- Strong software engineering fundamentals; comfortable meeting software design standards to get code into a production environment.
Requirements
- 8+ years of professional software engineering experience, with a strong focus on backend and infrastructure.
- Infrastructure & cloud: hands-on Terraform experience and production work on at least one major cloud (GCP, AWS, Azure, or similar).
- Experience taking an early-stage prototype to a production environment, at a startup or national lab.
- Familiarity with 3D rendering or visualization technologies.
- Experience supporting ML or scientific-computing workloads (PyTorch, NumPy, CUDA, GPU infrastructure).
- Experience with containers and orchestration (Docker, Kubernetes) and observability tooling.
- Comfort evolving core platform and model infrastructure.
Skills
- hands-on Terraform experience and production work on at least one major cloud (GCP, AWS, Azure, or similar).
- built and maintained pipelines with Jenkins or an equivalent CI system.
Compensation
- Competitive salary, equity, health benefits, flexible time off, and remote-friendly policies.
- Final compensation depends on experience and location.
Benefits
- Build and harden CI/CD pipelines (Jenkins or equivalent) so the team can ship with confidence and strong regression coverage.
- Expand simulation capabilities to maximize utility and domain coverage
- Competitive salary, equity, health benefits, flexible time off, and remote-friendly policies.
Company info
- At Vinci, we are building the operator intelligence infrastructure that modern hardware programs rely on daily. We have already proven that a single foundation model works out of the box across physics on realistic production workloads.
- Trained on petabytes of structured physics data
- Running billion-voxel inference in production
- Tier-1 semiconductor and hardware customers
- Operating across multiple physical scales and operator regimes
- At Vinci, we are building the operator intelligence infrastructure that modern hardware programs rely on daily.
- We have already proven that a single foundation model works out of the box across physics on realistic production workloads.
- We are scaling deployment at industrial magnitude:
- Increase simulation throughput by two orders of magnitude
- Our ambition is to become the default operator intelligence layer that hardware companies run on.
- Our unified model architecture delivers steady-state and transient solutions to partial differential equations at production scale.
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