What are the responsibilities and job description for the Senior Software Engineer for Hardware Design Applications position at Vinci4D.ai?
About Us
Join us in empowering 9 million mechanical engineers by building a revolutionary co-pilot for hardware design that accelerates their design iterations 1000 times faster.
We are developing a cutting-edge geometry and physics-driven foundation model tailored for various types of part designs.
With a strong proof of concept in place, we are rapidly moving towards our MVP and are eager to find passionate individuals who thrive on building innovative applications.
Your Responsibilities
As a key member of our team, you will significantly enhance our development process by designing and implementing robust pipelines and tools that transition our software from development to deployment. You will also streamline data flow within our deployed product. Your specific tasks will include :
Designing and constructing a data generation pipeline and associated services to produce geometry and physics solution data.
Creating an efficient development and deployment pipeline for our product, including on-premise deployment systems, build processes, containerization, data generation, and indexing on GCP.
Collaborating on the development of backend application pipelines.
Establishing an MLOps framework to facilitate the training of deep learning models for geometry and physics data.
Contributing to product strategy, aiding in roadmap planning, and prioritizing development efforts in partnership with early customers and design partners.
Building and launching essential product features.
Engaging in continuous learning while creating products that engineers will genuinely appreciate and valuing insights into entrepreneurship.
Qualifications
Over 5 years of experience in developing and delivering features in high-performance computing environments.
Proven proficiency in C , Python, or any other relevant language necessary for system setup, along with experience using tools like gRPC, protocol buffers, Docker, Kubernetes, and Bazel (or an equivalent build system).
Experience with cloud computing for data generation, scraping, and enabling data science teams for MLOps is a valuable plus.
Familiarity with CUDA technology is a significant advantage but not a requirement.
Frontend development experience would be advantageous.
Experience in a startup environment is strongly preferred.
You're a great fit for this role if you :
Have a passion for entrepreneurship and enjoy taking projects from concept to reality.
Embrace a mindset geared towards continuous learning and self-improvement.
Are enthusiastic about developing geometry and physics-based models to solve diverse design challenges (e.g., designing heat dissipation systems for chips to optimizing landing gears).
Excel in environments where you can take ownership and have autonomy over your work.
Location
We are based in Palo Alto, CA. We have received investment from Khosla and Eclipse Ventures during our pre-seed and seed funding rounds.
Benefits and Perks
Competitive compensation and equity (stock options).
Comprehensive health, dental, and 401k plans.
Lunch, beverages, and snacks provided on in-person workdays.
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