Full-Time

Senior Software Developer

AI/ML Engineer, Full Stack, IT Software Developer

Confirmed live in the last 24 hours

Qualcomm

Qualcomm

10,001+ employees

Develops and licenses semiconductor technologies

Compensation Overview

$52.19 - $78.29/hr

+ Bonus + RSU Grants

Senior

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Category
AI & Machine Learning
Full-Stack Engineering
Software Engineering
Required Skills
LLM
Rust
Python
JavaScript
React.js
NoSQL
Neural Networks
SQL
Machine Learning
Postgres
Vue.js
MongoDB
AngularJS
Requirements
  • Experience building full stack AI applications, with a focus on practical, production-grade solutions
  • Strong proficiency in Rust for performance-critical systems and Python for AI development and scripting
  • Frontend development skills using modern JavaScript frameworks (React, Vue, or Angular)
  • Experience developing IDE plugins or extensions (VS Code, JetBrains, etc.)
  • Solid understanding of large language models (LLMs), their mechanics, and their real-world applications
  • Experience implementing tool use capabilities for LLMs and agent frameworks
  • Knowledge of evaluation methodologies for fine-tuned language models
  • Familiarity with neural network architectures and how they power modern AI systems
  • Experience with conventional databases and vector databases (e.g., PostgreSQL, MongoDB, OpenSearch, Qdrant)
  • Good grasp of Retrieval-Augmented Generation (RAG) and latest AI Agent frameworks
  • Ability to stay current with the fast-evolving AI landscape, including advancements in LLMs and neural networks
  • Strong problem-solving skills and a creative approach to building generalized solutions
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
Responsibilities
  • Design and develop full stack generalized AI solutions, including RAG systems and agent frameworks
  • Build high-performance, scalable backend applications using Rust for systems-level efficiency and Python for rapid prototyping and integration
  • Develop and maintain IDE plugins that enable agentic use of LLMs within development environments
  • Create intuitive frontend interfaces for AI applications using modern web technologies
  • Implement and optimize tool use functionalities for LLMs, enabling them to interact with external systems and APIs
  • Setup and maintain evaluation pipelines for fine-tuned LLMs using internal benchmarks and metrics
  • Integrate and optimize large language models (LLMs) and neural network architectures into production-ready software
  • Collaborate with cross-functional teams to define requirements and implement AI-driven features
  • Work with databases (e.g., SQL, NoSQL, vector databases) to manage and retrieve data efficiently for AI applications
  • Stay informed on the latest trends in AI, LLMs, neural networks, and related technologies to drive innovation
  • Write clean, maintainable, and well-documented code adhering to best practices
  • Troubleshoot and optimize AI applications for performance, reliability, and scalability
  • Contribute to the creation of reusable libraries and frameworks for AI development
Desired Qualifications
  • Experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face Transformers
  • Familiarity with hardware-accelerated AI (e.g., GPUs, TPUs, or custom chips)
  • Prior work with APIs or microservices for AI integration
  • Experience with CI/CD pipelines and DevOps practices
  • Knowledge of containerization technologies (Docker, Kubernetes)
  • Experience with automated testing frameworks for both frontend and backend systems

Qualcomm develops and commercializes advanced wireless technologies and semiconductor products. The company designs and manufactures integrated circuits that are essential for mobile devices, automotive applications, and Internet of Things (IoT) devices. Qualcomm's products work by enabling enhanced connectivity and efficient power management, which improves the performance of smart devices and networks. Unlike many competitors, Qualcomm also generates revenue through licensing its extensive patent portfolio, allowing other companies to use its technologies. The goal of Qualcomm is to drive the evolution of connectivity and performance in various electronic applications.

Company Size

10,001+

Company Stage

IPO

Headquarters

San Diego, California

Founded

1985

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for AI in IoT and automotive boosts Qualcomm's market opportunities.
  • Mid-range computing devices drive demand for Qualcomm's affordable Snapdragon X chips.
  • Automotive industry's shift to ADAS presents significant growth potential for Qualcomm.

What critics are saying

  • Legal battles with Apple could harm Qualcomm's financial and reputational standing.
  • Fraud conviction of a former executive may affect investor confidence.
  • New affordable chipsets risk cannibalizing sales of Qualcomm's high-end products.

What makes Qualcomm unique

  • Qualcomm leads in wireless technology with a strong patent portfolio.
  • Their Snapdragon chipsets are renowned for high performance and power efficiency.
  • Qualcomm's AI and connectivity solutions are pivotal in IoT and automotive sectors.

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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

Gadget Pilipinas
Apr 14th, 2025
Snapdragon Rumors Suggest a New Affordable Flagship Chipset is Coming This Year

Qualcomm is reportedly developing a new smartphone chipset, the SM8845, to bridge the gap between the Snapdragon 8s Gen 4 and the upcoming Snapdragon 8 Elite.

Domlai
Apr 14th, 2025
Qualcomm introduces Snapdragon X chips for mid-range Windows laptops and desktops

Qualcomm also introduced a less powerful, cheaper variant of the X Plus in September.

Slater Sentinel
Apr 11th, 2025
Heritage Trust Co Makes New $13.71 Million Investment in QUALCOMM Incorporated (NASDAQ:QCOM)

Heritage Trust Co makes new $13.71 million investment in QUALCOMM Incorporated (NASDAQ:QCOM).

Robotics and Automation News
Apr 11th, 2025
Epec and Qualcomm Technologies showcase technology to automate off-highway heavy machinery sector

By combining Epec's expertise in machine system solutions and automation with Qualcomm Technologies' high-performance, low-power computing, artificial intelligence (AI), and highly advanced connectivity solutions, the collaboration will drive digital transformation and innovation in mobile machinery for use in mining, construction, agriculture, and more.

8w8xiid.stuckminers.com
Apr 10th, 2025
Qualcomm may be considering nuclear option in battle with Apple

Tension between Qualcomm and partners has been brewing for months and finally bubbled over in January when the Federal Trade Commission accused Qualcomm of anti-trust practices.