Ai Assisted Engineering

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2 jobs found

2d ago

Applied Machine Learning Engineer, Circuit Design - New College Grad 2026

NVIDIA Santa Clara, CA

Santa Clara, CA

2d ago

$116k - $219k/yr Full time Electrical Engineering Ai Assisted Engineering Artificial Intelligence

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Job Description

Applied Machine Learning Engineer, Circuit Design for New College Grad 2026 at NVIDIA in Santa Clara, CA (hybrid) with a salary range of USD 116,000 - 218,500 per year.

Responsibilities

Collaborate in a cross-functional team on programs spanning pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI powered design automation.
Contribute to projects across silicon data analysis, manufacturing process variation analysis, VLSI circuit design and timing, and agent driven design exploration with optimized agent flows.
Translate stakeholder requirements into data science, AI/ML, and agent-based system problems; design architectures and implement end-to-end solutions.
Develop, validate, and release models and AI systems that integrate with existing machine learning, design automation, and visualization tools.
Analyze datasets, formulate and validate hypotheses, extract meaningful features, and build models plus self-improving workflows atop them.
Refine models, algorithms, and autonomous optimization loops until the desired QOR is achieved.

Requirements

Master’s degree or PhD in Electrical or Computer Engineering, Computer Science, or Applied Mathematics, or equivalent practical experience.
Strong background in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design.
Demonstrated experience at the intersection of applied math, machine learning, and software development, with proficiency in Python and C++.

Technologies

Python
C++
PyTorch
LangChain
LangGraph
SPICE

Benefits

Equity
Benefits

Ways to Stand Out

Experience building AI systems for EDA, design automation, or circuit design workflows.
Research or project work in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems.
Background creating agent-based systems, autonomous optimization loops, self-improving AI platforms, or production-scale AI/ML pipelines.
Proficiency with deep learning algorithms and AI agent frameworks; hands-on use of PyTorch, LangChain, or LangGraph is highly beneficial.

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4d ago

Senior AI Engineer - Guidewire

CNA Insurance Chicago, IL

Chicago, IL

4d ago

$72k - $141k/yr Full time Ai Assisted Engineering Ai Workflows Artificial Intelligence

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Job Description

CNA Insurance is seeking a Senior AI Engineer to lead AI-first engineering across its enterprise platforms, blending hands-on leadership with governance to deliver scalable AI-enabled solutions. Guidewire experience is preferred, and the role centers on shaping AI-driven engineering practices across the organization.

Responsibilities

Define and drive the AI-first engineering vision across development teams, promoting AI-assisted development practices.
Lead and mentor engineering teams in using AI tools effectively and responsibly (examples include GitHub Copilot, Claude, Developer Assistants).
Establish governance models and best practices for AI-assisted development, ensuring quality, security, compliance, and maintainability of generated code.
Apply strong engineering judgment to review, validate, and standardize AI-generated outputs.
Architect and deliver scalable, cloud-native, and API-driven solutions across enterprise platforms.
Guide teams in building production-grade applications using modern engineering principles (microservices, event-driven architecture, CI/CD).
Enable teams to accelerate development through AI-assisted coding, testing, and debugging.
Enable teams to accelerate development through automation frameworks and reusable patterns.
Enhance developer experience and tooling to speed up delivery.
Collaborate with business, product, architecture, and platform teams to align AI-driven solutions with business outcomes.
Drive integration strategies across enterprise systems using API-first and event-driven approaches.
Provide technical oversight and leadership for complex programs and cross-functional initiatives.
Lead adoption of modern engineering practices, including automation, observability, and test-driven development.
Evaluate and recommend emerging technologies in AI, automation, and developer productivity.
Support production readiness, troubleshooting, and continuous improvement of application performance and reliability.
(Preferred domain responsibility) Contribute to or guide implementations involving Guidewire InsuranceSuite and Digital Solutions.
Mentor and develop engineers, fostering a culture of continuous learning, innovation, and AI-driven excellence.
May perform additional duties as assigned.

Requirements

Proven experience driving AI-assisted development practices at scale.
Hands-on experience with tools such as Claude, GitHub Copilot, Cursor, or similar.
Strong ability to evaluate and govern AI-generated code.
Demonstrated ability to define standards, frameworks, and best practices.
Experience mentoring teams and enabling AI adoption across engineering organizations.
Strong understanding of secure coding and compliance in AI-enabled environments.
Strong expertise in cloud-native architecture, microservices, and distributed systems.
Experience with API-first, integration, and event-driven architectures.
Proven ability to build scalable, production-grade applications.
Familiarity with DevOps, CI/CD, and automation frameworks.
Full-stack development expertise (Java/J2EE or similar stack, microservices, UI frameworks).
Strong knowledge of API design, integration platforms, and web services.
Excellent problem-solving and decision-making skills.

Technologies

GitHub Copilot
Claude
Cursor
Developer Assistants
Guidewire InsuranceSuite
Guidewire Cloud Platform
Guidewire Jutro Digital Platform (JDP)
Java/J2EE

Reporting relationship

Typically Director or above

Education & Experience

Bachelor’s degree in computer science or a related discipline (or equivalent experience).

Typically, 8+ years of software engineering experience, including:

AI-assisted development / developer productivity transformation
Technical leadership, architecture, or team enablement roles
Experience in enterprise platforms or the insurance domain is a plus
Prior exposure to Guidewire implementations preferred but not required

Architecture & Modern Engineering

Strong expertise in cloud-native architecture, microservices, and distributed systems
Experience with API-first, integration, and event-driven architectures
Proven ability to build scalable, production-grade applications
Familiarity with DevOps, CI/CD, and automation frameworks

Technical Skills

Full-stack development expertise (Java/J2EE or similar stack, microservices, UI frameworks)
Strong knowledge of API design, integration platforms, and web services
Excellent problem-solving and decision-making skills

Guidewire & Domain (Preferred / Nice to Have)

Experience with Guidewire InsuranceSuite and Digital
Exposure to Guidewire Cloud Platform and integration patterns
Understanding of the P&C insurance domain
Experience with Guidewire Jutro Digital Platform (JDP) is a plus

Soft Skills

Strong leadership, communication, and stakeholder management skills
Ability to influence without authority and drive change across teams
Strong collaboration across distributed and cross-functional teams

Role Differentiators

Focuses on AI-first engineering transformation, not just development
Combines hands-on engineering with leadership and vision-setting
Enables organization-wide productivity gains using AI tools
Opportunity to influence engineering culture, standards, and delivery model
Flexibility to apply AI engineering practices across multiple platforms, not limited to Guidewire

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Ai Assisted Engineering Data Jobs

Applied Machine Learning Engineer, Circuit Design - New College Grad 2026

Senior AI Engineer - Guidewire

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