6 months ago
Cupertino, CA, USASenior
Responsibilities
- Design software that optimizes Sohu chip performance and supports large transformer models.
- Develop software across low-level drivers and APIs through high-level applications and frameworks.
- Collaborate with hardware and software engineers to advance AI hardware capabilities.
- Review other engineers’ code for style, correctness, testability, and efficiency.
- Contribute to AI solutions for natural language processing, chain-of-thought automation, and generative media.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 8 years of software development experience, including data structures and algorithms.
- At least 5 years of experience testing and launching software products and 3 years of experience with software design and architecture.
- At least 5 years of experience designing, implementing, and troubleshooting firmware.
- At least 5 years of experience with embedded architectures, I/O technologies such as I2C, SPI, PCIe, and DRAM, and concepts including scalability, fault tolerance, and consistency.
- Strong programming skills in C++, Rust, and/or Python.
- Experience with embedded systems, high-performance computing, or distributed systems.
- Deep understanding of computer architecture and operating systems.
- Preferred: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Preferred: 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Preferred: experience with Java or Go and resolving customer-related issues.
- Preferred: experience developing solutions to ambiguous problems with significant impact and strong verbal and written communication skills.
Benefits
- Competitive salary and benefits package.
- Opportunity to work at a dynamic AI hardware startup on advanced AI hardware.
- Location: Cupertino, California.
About Etched
Etched designs and sells AI inference chips and servers that hard‑code support for specific model architectures. Its first ASIC, Sohu, targets transformer models to deliver high‑throughput, low‑latency inference for workloads such as real‑time generation. Founded in 2022 and headquartered in San Jose, California, the privately held company serves organizations building large‑scale AI inference clusters and infrastructure.