Qualcomm · 2 weeks ago
Staff Software Engineer
United States
Full-time
Remote
Lead/Staff
$160K/yr - $241K/yr
2+ years expQualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. The Staff Software Engineer will create and implement machine learning techniques, collaborating with cross-functional teams to enhance mobile, edge, auto, and IoT products through machine learning hardware and software.
Artificial Intelligence (AI)TransportationSemiconductorInternet of ThingsSoftwareTelecom & CommunicationsAutonomous VehiclesGenerative AIGPUTelecommunicationsWireless
Responsibilities
Lead the design, development, and optimization of edge AI systems for real-time video analytics, spanning model architectures, inference pipelines, and runtime frameworks deployed on AI camera and embedded platforms
Develop and integrate advanced computer vision and video analytics algorithms to deliver robust, production-grade AI cameras and edge computer vision solutions
Design and optimize real-time video processing pipelines, leveraging FFmpeg, GStreamer, and streaming protocols to handle high-throughput, low-latency video ingestion, preprocessing, inference, and post-processing
Apply and evaluate machine learning techniques under real-world constraints, incorporating system-level considerations such as bandwidth, compute budget, memory footprint, thermal limits, and end-to-end latency
Prototype, validate, and productionize novel ML solutions aligned with product roadmaps, transforming research concepts into reliable customer-facing features
Lead experimental design, model training, benchmarking, and validation, establishing metrics, evaluation frameworks, and best practices to ensure model accuracy, robustness, and system performance at scale
Provide technical leadership across the organization, mentoring engineers, reviewing designs, and driving architectural decisions that shape the long-term evolution of the ML and edge AI platform
Communicate technical strategy, trade-offs, and results effectively to cross-functional stakeholders and senior leadership, influencing product direction and execution
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
OR 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
OR 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
Master's degree or PhD in Computer Science, Electrical/Computer Engineering, Robotics, or a related field with specialization in edge AI, computer vision, or embedded ML
5+ years of experience with performance‑critical programming in C++, Python, including hardware‑aware optimization
5+ years of experience with modern ML framework such as PyTorch, ONNX Runtime, TensorRT, TVM, OpenVINO, or Qualcomm's AI toolchain including SNPE, QNN
3+ years of experience developing real‑time edge AI systems with emphasis on vision, multimodal perception, and sensor fusion
Strong background in applied statistics, probabilistic modeling, and evaluation of ML systems under real‑world constraints such as latency, thermal limits, and bandwidth
Familiar with FFmpeg, GStreamer with solid knowledge of video codec and streaming technologies
Experience with computer vision and intelligent video analytics, including object detection, tracking, re‑identification, camera geometry and calibration, and cross‑camera association
Experience working in large cross‑functional organizations involving hardware, firmware, cloud, and product teams
Experience leading technical initiatives, mentoring engineers, or driving architectural decisions
Experience presenting technical strategy or results to senior leadership
Benefits
Competitive annual discretionary bonus program
Opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus)
Highly competitive benefits package is designed to support your success at work, at home, and at play
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
96%
Represents job field similar to this job
Engineering and Development
Management and Executive
Product Management
Customer Service and Support
Accounting and Finance
Legal and Compliance
Sales
Human Resources
Marketing
Creatives and Design
Arts and Entertainment
Trends of Total Sponsorships
*2026 (702)
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 R. Amon
President and Chief Executive Officer
I
Isaac Eteminan
CEO
Recent News
The Motley Fool
2026-07-16
2026-07-14
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