Full-Time
Cloud Services Engineer
Machine Learning Engineering
Posted on 2/12/2025
Qualcomm
10,001+ employees
Develops and licenses semiconductor technologies
No salary listed
Junior, Mid
Company Historically Provides H1B Sponsorship
Seattle, WA, USA
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- Develop computer algorithms to complete specific software tasks for cutting edge computer vision speech and machine learning experiences for the end users of our operating systems.
- Work across compiler technologies, system architecture, and processor architecture on devices to ensure our operating systems continue to operate properly.
- Define and build user-facing application programming interfaces and software packages to enable users to interact with our operating systems.
- Interact with customers as needed and provide engineering roadmap in order to assist in prioritization of deliverables.
- Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
- Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
- Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
- Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.
- Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and working features.
- Oversees and conducts experiments to train and evaluate machine learning models and/or software.
- Preferred to have at least 1 year of prior work experience in writing scalable software backed by relational databases including PostgreSQL and DynamoDB.
- Preferred to have at least 1 year of prior work experience in building, testing, and deploying using AWS CloudFormation to synthesize resources from templates, CDK to represent infrastructure as code, and Github Actions or comparable technologies to implement CI/CD workflows.
- Preferred to have at least 1 year of prior work experience in using Amazon Load Balancer, Elastic Load Balancer, or comparable technologies to create and deploy horizontally-scalable services.
- Preferred to have at least 1 year of prior work experience in monitoring software health using automated monitors and alarms on AWS CloudWatch or a comparable platform to identify and address any problems.
- Preferred to have at least 1 year of prior work experience in writing performant and testable software using Python and/or Java, with dependency locking using modern tools and platforms like pip, Poetry, gradle or equivalent.
Qualcomm develops and commercializes advanced wireless technologies, focusing on the semiconductor industry. The company designs and manufactures integrated circuits that enhance connectivity and power management for various applications, including mobile devices, automotive systems, and Internet of Things (IoT) devices. Qualcomm generates revenue through the sale of these semiconductor products and by licensing its extensive patent portfolio. What sets Qualcomm apart from its competitors is its strong emphasis on innovation in wireless technology and its diverse client base across multiple industries. The company's goal is to drive the evolution of smart devices and networks, ensuring efficient performance and connectivity.
Company Size
10,001+
Company Stage
IPO
Headquarters
San Diego, California
Founded
1985
Simplify's Take
What believers are saying
- Snapdragon X processor targets budget AI PCs, expanding market share in affordable laptops.
- Collaboration with Visteon enhances automotive solutions, boosting demand in the automotive sector.
- Acquisition of Edge Impulse strengthens IoT offerings, expanding reach in the IoT market.
What critics are saying
- Increased competition from Intel and AMD in the AI chip market.
- Over-reliance on partnerships like Visteon and KOGO AI may pose vulnerabilities.
- Rapid AI advancements require continuous R&D investment to maintain competitiveness.
What makes Qualcomm unique
- Qualcomm leads in semiconductor innovation with advanced wireless technologies.
- Its Snapdragon processors power a wide range of devices, from smartphones to PCs.
- Qualcomm's extensive patent portfolio strengthens its competitive position in the market.
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Benefits
Premium-free health coverage
Onsite health & fitness centers
Retirement programs
Disability & life insurance programs
Tuition reimbursement
Product discounts
Flexible time off
Parental leave
Company News
Arvind Krishna, the CEO of IBM, said his company’s investment in artificial intelligence (AI) has ultimately led to a rise in employment in the firm.According to a Tuesday (May 6) report from The Wall Street Journal (WSJ), IBM replaced a few hundred human resources staffers with AI agents, bots that can perform tasks like analyze spreadsheets, conduct research and draft emails autonomously.Consequently, IBM hired more programmers and salespeople.“While we have done a huge amount of work inside IBM on leveraging AI and automation on certain enterprise workflows, our total employment has actually gone up, because what it does is it gives you more investment to put into other areas,” Krishna told WSJ.Krishna called these areas — such as software engineering, sales and marketing — “critical thinking” focused domains, where people need to do things that “face up or against other humans, as opposed to just doing rote process work,” according to the report.WSJ noted that IBM didn’t say over what period its job reductions happened.The CEO also noted that the impact of President Donald Trump’s tariffs on IBM’s bottom line was “very limited,” given that most of its mainframe computer and quantum systems are built domestically.However, he expressed caution about a possible reduction in demand due to tariffs, which could hit discretionary spending in the company’s consulting business.“If the impact is within 3 to 4%, you actually can grit and manage through it,” Krishna said. “If the impact is going to be more like 10%, then that requires a lot more hardheaded management decisions.”Krishna — along with the CEOs of Intel, Qualcomm and HP — met with Trump on March 10 to discuss the impact of tariffs on the industry.“Some of the topics top-of-mind for our leadership team are trade policy and U.S. manufacturing,” that spokesperson said.In February, Krishna argued that a drop in AI costs will drive demand for the technology.“We will find that the usage will explode as costs come down,” Krishna told Bloomberg Television, according to a Feb. 11 report from PYMNTS
At CES 2025, Qualcomm officially unveiled its Snapdragon X processor, a new AI-focused chip designed to bring cutting-edge machine learning and Copilot+ integration to Windows laptops priced under $600.
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