About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Computer Hardware Manufacturing.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

---

What You’ll Do

Confidential Client’s Deep Learning Libraries team builds high-performance, production-grade software used across AI workloads. In this role you will:

• Design and develop robust, scalable GPU-accelerated deep learning libraries using C++ and object-oriented design principles.
• Define and maintain public APIs, implement features, and optimize performance for training and inference workloads.
• Build and maintain automation for build, test, integration, and release processes for publicly distributed libraries.
• Maintain and test environments for new hardware, OSes, and platforms using industry-standard tooling (e.g., Kubernetes, Jenkins, Docker, CMake, GitLab, Jira).
• Participate in architecture discussions and collaborate closely with research and hardware teams on hardware-software co-design.
• Troubleshoot performance bottlenecks and contribute to a culture of high-quality, well-tested software delivery.

---

What We’re Looking For

• Strong programming skills in C/C++.
• Practical, pragmatic problem-solving and collaborative mindset.
• Experience with source control and SCM tools (e.g., Git, Perforce) and build systems (e.g., Make, CMake, Bazel).
• Passion for automation that improves developer productivity and reliability.
• Ability to work independently: define goals, scope projects, and lead development efforts.
• Graduation with a BS, MS, or PhD in Computer Science, Compute Engineering, or similar (or equivalent experience) — this role is targeted to new college graduates (class of 2026).

---

Ways To Stand Out

• Knowledge of CPU and/or GPU architecture; CUDA or OpenCL programming experience is strongly desired.
• Experience optimizing high-performance computing workloads, linear algebra algorithms, and parallel implementations.
• Familiarity with compiler optimizations and performance tuning.
• Experience with code coverage, static analysis, or other quality tooling.

---

Compensation & Benefits

• Base salary ranges (dependent on level, location, and experience):
  • Level 2: $124,000 – $195,500 USD / year
  • Level 3: $152,000 – $241,500 USD / year
• Eligible for equity and benefits in addition to base salary.
• Final pay will be determined by the Confidential Client based on your location, experience, and internal pay equity.

---

Work Location & Eligibility

• Location: California, US.
• Employment type: Full-time.
• Applicants must be legally authorized to work in the United States. Confidential Client will comply with all applicable federal, state, and local employment laws.

---

Notes on Process

• Careertakes is acting as a third-party recruiter for Confidential Client.
• AI tools may be used to assist with application review or resume screening; human decision-makers make final hiring decisions.

---

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.