AI Software Engineer
(US) Santa Clara CA , Austin TX, Portland OR, Fort Collins CO
Engineering – Software Engineering /
Full-time /
Hybrid
Open position for AI Software development at a fast-moving startup.
Potential Responsibilities
- Build-up components of an AI Software Stack
- Port AI Software to run on a new H/W platform
- Profiling and tuning of AI applications
- Implement math operators used in AI
- Build up infrastructure to validate AI models running on a new H/W platform
Requirements
- Coursework or experience with C or C++
- Coursework or experience in Operating Systems or Embedded Software Engineering
- Coursework or experience with Assembly Language Programming and Computer Architecture
- Familiarity with Python
- Excellent skills in problem solving, written and verbal communication
- Strong organization skills, and highly self-motivated.
- Ability to work well in a team and be productive under aggressive schedules.
- Desire to learn new skills and attack novel problems
Optional Requirements
- Experience with NumPy, PyTorch, TensorFlow or JAX
- Experience with Rust
- Experience with CUDA, OpenCL, OpenGL, or SYCL
- Coursework or experience with compiler development
- Coursework or experience with Machine Learning algorithms
Education and Experience
- Bachelor’s, Master’s, or PhD in Computer Engineering, Software Engineering or Computer Science
About Rivos
Founded in May 2021, Rivos has assembled a world class team of silicon, software and platform designers. The company is backed by premier financial and strategic investors who share its long term vision of building industry-leading power efficient, high performance, secure server solutions based on RISC-V.
Rivos supports the intense requirements of the large language models and data analytics that will remake the enterprise, by providing the full solution of optimized chips combining RISC-V CPUs and a Data Parallel Accelerator, a reference multi-chip OCP modular server, and a full firmware-to-application open software stack. Customer workloads are easily deployed using their existing models giving an immediate TCO benefit.
