Qualcomm · 1 day ago
Physical AI Ops Tech Lead - Qualcomm Advanced Robotics Team
San Diego, CA
Full-time
Onsite
Senior Level, Lead/Staff
$158K/yr - $238K/yr
4+ years expQualcomm is a leading technology company focused on advanced robotics. The role involves leading the technical design and implementation of AI Ops for next-generation robotics platforms, emphasizing building robust data pipelines and model operations to support scalable deployment across distributed systems.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
Responsibilities
Lead the technical design of end-to-end data and ML pipelines spanning high-throughput telemetry ingestion, streaming/batch processing, curated training/eval datasets, and reliable lineage and data quality
Build the platform for reproducible ML at scale: training orchestration, distributed jobs, experiment tracking, model registry, and gated promotion flows that enable continuous learning
Operate real-time inference safely with robust serving, progressive rollouts (canary/blue-green/shadow), A/B experiments, automated rollback, and strict SLOs
Own CI/CD pipelines and release processes for ML and robotics software, including automated builds, testing, deployment orchestration, and integration with observability and rollback mechanisms
Establish comprehensive ML observability—data/feature drift, performance monitoring, and incident automation with playbooks—integrated with robotics safety guardrails, auditability, and fail-safe design
Partner cross-functionally with robotics software/hardware, ML research, product, and operations to align interfaces, feature contracts, compliance needs, and reliability KPIs across cloud/edge
Mentor and grow senior engineers across core platform services, data and model lifecycle tools, and externally facing SDKs setting crisp technical direction, code quality bars, and review culture
Engage customers & partners as the senior technical face of the platform clarify requirements, guide integrations, and translate learnings into the roadmap
Set the technical bar for platform correctness, reliability, and developer experience
Coach senior ICs and tech leads, building a strong review culture and CI/CD discipline for robotics AI Ops pipelines
Partner with product and silicon teams to align software roadmaps with SoC capabilities and internal and external customer needs
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Preferred
MS in Computer Science, Robotics, Electrical Engineering, or related field; PhD a plus
5+ years in software/platform engineering, including 3+ years in technical leadership or staff-plus roles
Proven experience building large-scale data pipelines and MLOps platforms; strong background in distributed systems, SRE/DevOps, and safety-critical environments
Expertise in data streaming (PubSub, ETL), ML workflow tools (MLflow/W&B, Argo, model registries, feature stores), and infrastructure (Kubernetes, IaC, cloud platforms, edge computing)
Proficiency in Python, Go, and C++ with solid systems design and reliability engineering; familiarity with observability tools (Prometheus, OpenTelemetry) and incident automation
Strong architectural decision-making, communication, and stakeholder management skills across engineering, research, and operations
Experience with continuous learning systems (automated data curation, drift/bias monitoring, gated promotions)
Knowledge of functional safety and compliance frameworks relevant to robotics (e.g., ISO 26262-like principles, IEC 61508-inspired practices)
Prior delivery of AI Ops/MLOps platforms supporting multiple teams and models at scale
Benefits
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package
Company
Qualcomm
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
10001+ employees
H1B Sponsorship
Qualcomm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)
Funding
Current Stage
Public CompanyTotal Funding
$3.5M1991-12-20IPO
1988-01-01Undisclosed· $3.5M
Leadership Team
Cristiano Amon
President & CEO
I
Isaac Eteminan
CEO
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