Upscale AI
Design Verification Engineer
US - Headquarters · Senior
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About the role
- We focus on first-principles engineering across silicon, systems, and networking-where performance, scale, and execution are critical.
- Our team is talent-dense and high-performing.
- If you're looking to do high-impact work, move fast, and help define the infrastructure behind the future of AI-Upscale is where you can produce meaningful work at the frontier-and operate at a high standard.
Nice to have
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 10+ years of industry experience, or a Master's degree with 7+ years of relevant experience.
- Strong proficiency with SystemVerilog and the Universal Verification Methodology (UVM).
- Strong programming and scripting skills in C, C++, and/or Python.
- Domain knowledge of Ethernet, PCIe, and switch fabric architectures is highly desirable.
- Strong analytical, problem-solving, and communication skills with a passion for solving complex technical challenges.
Compensation
- $212k-$246k
Company info
- We value ownership, technical rigor, and speed, and we offer the opportunity to work on foundational problems with immediate, real-world impact.
Equal opportunity
- Upscale, Inc., is building a team that reflects a wide range of perspectives, backgrounds, and experiences. We're proud to be an Equal Opportunity Employer and consider all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, disability, or veteran status.
- Accessibility & Accommodations
- We're committed to making our hiring process accessible to everyone. If you need accommodations at any stage, just reach out to us at hiring@upscaleai.com -we're happy to help. Note: This inbox is only for accommodation requests.
- Upscale, Inc., is building a team that reflects a wide range of perspectives, backgrounds, and experiences.
This listing is sourced directly from Upscale AI's careers page and normalized into a canonical job model.