Edge ML Software Engineer; Model Optimization-PICO - San Jose

Edge ML Software Engineer (Model Optimization-PICO) - San Jose

Location:

San Jose

Team:
Technology

Employment Type:

Regular

Job Code: A143350B

• Convert and compile ML models for execution on edge NPUs, and apply quantization mechanisms.
• Profile and analyze model performance and power consumption on simulators, emulators, and silicon platforms.
• Identify bottlenecks related to compute, memory bandwidth, data movement, and scheduling.
• Apply hardware‑aware optimization strategies, such as quantization, compression and operator fusion, to meet latency, memory and power targets.
• Work closely with algorithm, compiler, firmware and hardware teams to debug functional and performance issues.

• Minimum Qualifications
• Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
• 3+ years of industry experience in machine learning software engineering, model deployment, or ML systems for production environments.
• Strong understanding of deep learning architectures, including CNNs and Transformers.
• Knowledge of ML accelerators' architectures, operator fusion, memory hierarchies, and data movements.
• Practical experience with popular ML frameworks, like PyTorch / Tensor Flow.
• Proficiency in Python and C/C++.
• Preferred Qualifications
• 5+ years of industry experience in machine learning software engineering, model deployment, or ML systems for production environments.
• Understanding of model inference constraints on edge devices, including latency, power, and accuracy trade‑offs and optimization techniques.
• Understanding of quantization techniques, such as PTQ and QAT.

The base salary range for this position in the selected city is $212800 - $450000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

Founded in April 2015, Pico is a VR company committed to developing immersive and interactive VR experiences for people around the world. Pico also provides tailor‑made solutions for our enterprise clients in the fields of education and healthcare.

Byte Dance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at