Qualcomm
Designs, manufactures, and licenses wireless semiconductors
ML Platform Software Engineer - Software Engineering
+ Annual discretionary bonus + Annual RSU grants
The subtitle says flexible on location anywhere in Europe, but the ATS-posted role is tied to Rome, Italy.
About the job
- A Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field and 4 or more years of software engineering or related work experience; or a Master's degree in those fields and 3 or more years of experience; or a PhD in those fields and 2 or more years of experience.
- At least 2 years of work experience with a programming language such as C, C++, Java, or Python.
- At least 8 years of software engineering experience, or equivalent experience accepted when the candidate can demonstrate the ability to fulfill the principal duties and possesses the required competencies.
- Strong proficiency in Python and at least one of Go, C++, Rust, or Bash.
- Knowledge of data structures, algorithms, concurrency, networking, and distributed systems.
- Experience with Kubernetes, Helm, Argo Workflows, ArgoCD, and Docker.
- Ability to pass coding assessments demonstrating problem-solving and clean-code practices.
- Exposure to AWS services including EKS, EC2, VPC, IAM, S3, EFS, and Batch, as well as CI/CD automation.
- Ability to continuously improve platform reliability, performance, GPU utilization, throughput, and developer experience.
- Ability to collaborate with data science and engineering teams to integrate machine-learning and data workflows.
- Excellent communication and cross-functional collaboration skills.
- Ability to execute independently and maintain a pragmatic delivery focus.
- Architect and develop core components of the machine-learning platform and data infrastructure for training, inference, and large-scale data processing.
- Design and implement scalable solutions for GPU clusters and distributed data pipelines on premises and in AWS.
- Lead project workstreams, ensuring timely delivery and alignment with the platform roadmap, while driving outcomes end to end.
- Build and optimize data pipelines for ingestion, transformation, storage, and retrieval supporting batch and streaming machine-learning workflows.
- Write clean, efficient, and maintainable code for services, operators, automation, and tooling in multiple programming languages.
- Collaborate with data science and engineering teams to integrate machine-learning and data workflows, including feature stores, model registries, and artifact stores.
- Implement continuous integration and continuous delivery for machine-learning and data workflows using Argo Workflows, ArgoCD, and GitHub Actions, while championing testability and reproducibility.
- Maintain observability and logging using Prometheus, Grafana, AWS CloudWatch, and ELK/OpenSearch, and drive service-level objectives, tracing, and cost awareness.
- Operate AWS services including EKS, EC2, VPC, IAM, S3, EFS, and Batch across hybrid environments, and contribute to security and compliance controls.
- Continuously improve platform reliability, performance, GPU utilization, throughput, and developer experience.
- Build robust, scalable platforms that accelerate machine-learning and data innovation.
- Hands-on experience with GPU clusters and machine-learning frameworks such as TensorFlow and PyTorch.
- Proven experience building large-scale batch and streaming data pipelines, data orchestration, and storage patterns using S3, EFS, Parquet, or ORC.
- Familiarity with observability stacks including Prometheus and Grafana, ELK/OpenSearch, and CloudWatch.
- Knowledge of machine-learning optimization techniques, GPU memory management, and model deployment at scale.
- Experience with security and compliance for machine-learning and data platforms, including IAM, policies, and isolation.
- Prior contributions to platform services such as custom controllers, operators, and plugins, as well as developer tooling.
- Ability to mentor and influence technical direction while remaining hands-on.
About the company
Qualcomm designs and licenses semiconductor technologies for wireless connectivity used in mobile devices, cars, and IoT. Its products include system-on-chips and RF components, plus a large portfolio of patents that it licenses to other companies. The company combines end-to-end semiconductor design with IP licensing to serve mobile, automotive, and IoT markets. Its goal is to expand wireless technology adoption by delivering standards-based silicon solutions and monetizing its intellectual property to support ongoing connectivity innovation.
Company Size
10,001+
Company Stage
IPO
Headquarters
San Diego, California
Founded
1985
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Simplify's Take
What believers are saying
- Amazon's September 8, 2026 pact targets up to $60 billion through 2036.
- Qualcomm's September 8, 2026 Dragonwing IQ-8275 Ubuntu certification strengthens industrial AI deployment.
- September 2026 Snapdragon X2 driver updates improve gaming compatibility across 22 titles.
What critics are saying
- Apple's modem exit accelerates in September 2026, cutting Qualcomm's highest-margin royalty stream.
- Amazon's custom-chip deal prices data-center growth below handset margins, pressuring 2027 profitability.
- NVIDIA, AMD, and internal hyperscaler silicon can sideline Qualcomm's fledgling data-center ambitions.
What makes Qualcomm unique
- Qualcomm owns cellular patents and modem silicon, anchoring handset licensing economics.
- Snapdragon X2 and Dragonwing pair power-efficient Arm compute with broad software certification.
- Amazon chose Qualcomm for multi-generation AI data-center silicon, validating hyperscaler-custom design.
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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
Growth & Insights and Company News
6 month growth
↑ 2%1 year growth
↑ 1%2 year growth
↑ 0%Qualcomm announced Tuesday that Amazon could purchase up to $60 billion of its server chips over the next decade. The companies will co-develop customised silicon for Amazon Web Services data centres, beginning with AI inference chips. This marks Qualcomm's second attempt at the server chip market. In 2017, the company launched its Centriq 2400 processor but shut down the business within a year after failing to secure volume orders. The data centre group shrank from over 1,000 employees to about 50 by late 2018. This time, Amazon's commitment includes binding purchase agreements. Qualcomm issued Amazon warrants for 25 million shares at $161.26, which vest based on executed commercial agreements and actual chip purchases capped at $60 billion through 2036.
BlueStacks, maker of the GamePop platform that streams Android games to televisions, has received $13 million in investment from Samsung. The funding reflects shared goals between the companies to expand mobile gaming experiences to other platforms. Intel, Qualcomm, Andreessen Horowitz and Redpoint also back the project, dubbed the "Netflix of games". BlueStacks CEO Rosen Sharma says they aim to bring popular mobile content to living rooms worldwide, noting a shift in gaming preferences among younger players. Last year, BlueStacks launched a compact "free version" of the device requiring a $7 monthly subscription. The Ouya competitor offers over 500 Android games. The original GamePop was discontinued shortly after the GamePop Mini launched.
Qualcomm has shifted its growth narrative away from laptop chips towards data centre revenue. The company nearly doubled its non-handset revenue target to $40 billion by fiscal 2029, with over $15 billion expected from data centres and more than $24 billion from automotive and IoT combined. The Snapdragon X Series for laptops, once a flagship product, now receives minimal mention in earnings calls. Instead, Qualcomm forecasts $5 billion in data centre revenue for fiscal 2027, starting with two custom silicon wins. Automotive remains a bright spot, with fiscal Q3 2026 sales reaching a record $1.6 billion, up 61% year over year. An expanded BMW partnership made Qualcomm the lead compute silicon provider for the carmaker's next-generation ADAS and digital cockpit systems.
Amazon announced a multigeneration partnership with Qualcomm to develop AI inference chips and optical networking technology capable of 1.6 terabits per second. The company's shares fell approximately 1.3% in early trading following the news. AWS generated $42.2 billion in second-quarter revenue, up 37%, with operating income reaching $16.6 billion. Amazon reported that both its chip franchise and broader AI business surpassed $25 billion in annual revenue run rates. Under the partnership, Qualcomm will help design Amazon hardware whilst using more AWS infrastructure and AI services for its own semiconductor development. AWS posted an operating margin of roughly 39.3%. The companies did not disclose pricing, purchase commitments, or a deployment timetable for the collaboration.
Qualcomm has struck a deal with Amazon to develop custom chips for AI data centres, issuing a warrant that gives Amazon the right to purchase approximately $4 billion in shares. The San Diego-based chipmaker's stock rose more than 7% in early trading following the announcement on Tuesday. The collaboration marks a significant partnership between the two companies in the AI infrastructure space. Custom chip development has become increasingly important as tech giants seek to optimise their data centre operations for artificial intelligence workloads.