Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CASanta Clara, CA
- Posted
- 58 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,150–$208,800.
Based on 238 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 750 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 430 roles with salary data.
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At a glance
TL;DR · Careers
As a Tech Lead in Qualcomm Robotics, you will lead the design and implementation of AI Ops for a next-generation robotics platform, focusing on building robust data pipelines, training and evaluation orchestration, and model operations to support continuous learning. Your day-to-day responsibilities include leading the technical design of end-to-end ML pipelines, establishing CI/CD processes for ML software, ensuring comprehensive observability with safety guardrails, and mentoring senior engineers. You will work with cross-functional teams including robotics software/hardware, ML research, product, and operations to align on interfaces and compliance needs. The role requires expertise in data streaming, ML workflow tools, Kubernetes, IaC, cloud platforms, and familiarity with observability tools like Prometheus and OpenTelemetry. This position is at the forefront of shaping intelligent robotic operations, offering opportunities for technical leadership growth within a high-impact team.
Skills
What you'll do
- Lead technical design of end-to-end data and ML pipelines for high-throughput telemetry ingestion and processing.
- Build platform for reproducible ML at scale with training orchestration, distributed jobs, and gated promotion flows.
- Ensure safe real-time inference through robust serving, progressive rollouts, A/B experiments, and automated rollback mechanisms.
- Own CI/CD pipelines and release processes for ML and robotics software, integrating observability and rollback mechanisms.
- Establish comprehensive ML observability including data drift monitoring, performance tracking, and incident automation.
What we're looking for
- 5+ years in software/platform engineering with 3+ years in technical leadership roles.
- Proven experience building large-scale data pipelines and MLOps platforms.
- Expertise in distributed systems, SRE/DevOps, and safety-critical environments.
- Proficiency in Python, Go, C++, and systems design with reliability engineering skills.
- Strong background in data streaming, ML workflow tools, and cloud infrastructure.
- Architectural decision-making and communication skills across multiple teams.
- Experience with continuous learning systems and robotics compliance frameworks.
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