Hardware Software Co Design

Hardware Software Co Design Data Jobs

3 jobs found

9d ago

Machine Learning Engineer - College Graduate

Qualcomm San Diego, CA

San Diego, CA

9d ago

$123k - $184k/yr Full time Android Artificial Intelligence Data & Ai

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Job Description

Qualcomm’s AI Research team in San Diego is looking for a college graduate to help build and deploy on-device GenAI prototypes for the edge.

Responsibilities

Collaborate in a dynamic research setting as part of a multi-disciplinary team of researchers and software engineers
Work with cutting-edge AI frameworks and tools
Architect, design, develop, test, and deploy on-device prototype software for advanced AI use cases

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
Strong skills in Python and object-oriented software design and implementation
Knowledge of deep learning and ML frameworks (example: PyTorch)
Strong software design abilities with a focus on usability
Strong analytical, debugging, and problem-solving skills

Technologies

Python
Object-oriented software design
PyTorch
Generative AI (GenAI)
Neural network model optimization
Model quantization
On-target deployment
NPUs / ML accelerators
Android programming
C/C++
Embedded software
Hardware acceleration
Edge inference
Algebraic operations optimization for HW cores

Preferred extra experience and skills

Knowledge of Generative AI (GenAI) technologies
Knowledge of neural network model optimization and on-target deployment (plus)
Knowledge of NPUs / ML accelerators
Knowledge of Android programming (plus)
Optimization of algebraic operations in algorithms for HW cores (plus)
Knowledge of C/C++ and embedded software

Location and salary

Location: San Diego, CA (onsite)
Salary: USD 122,800 - 184,200 per year

Benefits

Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package

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1mo ago

Applied AI Engineer - VLSI Design

NVIDIA Santa Clara, CA

Santa Clara, CA

1mo ago Closed

$136k - $265k/yr Full time Agentic Ai Ai Automation Ai Ml

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

An opportunity at NVIDIA in Santa Clara, CA (hybrid) centers on an Applied AI Engineer role with a focus on VLSI design. The position combines developing and deploying AI and agentic solutions to support VLSI engineering flows and CAD systems, translating advanced AI capabilities into practical engineering tools and workflows. The role offers a salary range of USD 136,000 to 264,500 per year and requires a Master’s or PhD in Electrical Engineering or Computer Science/Engineering, with at least five years of industry experience.

Responsibilities

Lead design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and related technologies.
Build the infrastructure to deploy LLM-powered engineering assistants and multi-turn, multi-modal dialogue systems to drive impact.
Create agentic AI solutions to tackle complex VLSI engineering problems and integrate them with CAD flow systems.
Utilize AI to improve efficiency in solving challenging chip design problems.
Develop and maintain design databases and dashboards that employ agentic and deterministic retrieval to surface pertinent engineering data and accelerate circuit design closure.
Collaborate with circuit design, layout, technology, and third-party EDA vendor teams across geographies and time zones.

Requirements

Master’s or PhD in Electrical Engineering, Computer Science/Engineering, or equivalent experience.
5+ years of proven industry experience in a related field.
Proficiency in rapid prototyping with Python and solid foundations in data structures, algorithms, and software engineering principles.
Experience fine-tuning large language models, building advanced multi-agent systems, RAG pipelines, and vector databases.
Strong analytical, communication, and interpersonal skills with the ability to thrive in dynamic, product-focused, distributed teams.
Proactive problem-solving approach and willingness to acquire new skills as needed to achieve results.

Technologies

Python
Large Language Models (LLMs)
Agentic frameworks
RAG pipelines
Vector databases
CAD flow systems

Benefits

Equity
Benefits package

Ways to Stand Out

Experience with Large Language Models (LLMs) and their applications in software and AI development
Proficiency in standard software development methodologies, including version control, testing, and CI/CD
Deep interest in learning diverse concepts and combining them in innovative ways
Prior experience with circuit design or hardware design is a plus

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1mo ago

Senior Applied Machine Learning Engineer - VLSI Design

NVIDIA Santa Clara, CA

Santa Clara, CA

1mo ago Closed

$152k - $265k/yr Full time Senior Agent Based Design Analytics

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

Senior Applied Machine Learning Engineer focusing on VLSI/EDA design automation at NVIDIA, building data science and AI/agentic systems to accelerate pre- and post-silicon hardware design and circuit optimization, with integration into existing tools.

Responsibilities

Collaborate within a multi-functional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI systems for EDA/design automation.
Contribute to applications spanning silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent-driven design exploration and agent flow optimization.
Translate requirements into data science, AI/ML, and agentic system problems; architect and build robust solutions.
Test and release models and AI systems that integrate with existing machine learning, design automation, and visualization tools within the organization.
Analyze datasets, formulate and validate hypotheses, extract relevant features, and develop models and self-improving workflows on top of them.
Optimize models, algorithms, and autonomous optimization systems until achieving the desired quality of results (QOR).

Requirements

MS or PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics, or equivalent experience.
4+ years of experience in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design.
Experience in Applied Math/ML/Software programming with proven ability in Python and C++.
Experience with deep learning algorithms and AI agent frameworks; familiarity with PyTorch, LangChain, or LangGraph is a definite plus.

Technologies

Python
C++
PyTorch
LangChain
LangGraph

Benefits

Equity
Benefits

Ways to Stand Out From the Crowd

Experience building AI systems for EDA, design automation, or circuit design workflows.
Research or project experience in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems.
Experience building agentic systems, autonomous optimization loops, self-improving AI systems, or production-scale AI/ML platforms.
Effective verbal and written communication and technical presentation skills.
Self-starter with a passion for growth, continuous learning, and sharing findings across the team.

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Hardware Software Co Design Data Jobs

Machine Learning Engineer - College Graduate

Applied AI Engineer - VLSI Design

Senior Applied Machine Learning Engineer - VLSI Design

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