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Graph Ai Engineer Jobs (NOW HIRING)

Advantest

Applied AI Engineer

San Jose, CA · On-site

We are seeking highly skilled Applied AI Engineer (Software Engineer) to build intelligent systems ... Evaluate and implement different algorithms such as simulated annealing, greedy approach, graph ...

CoreStory

AI Engineer

We're looking for an AI Engineer who is passionate about building intelligent systems that blend ... graph integration). * Build and manage data indexing and retrieval pipelines using LlamaIndex ...

Advantest

Applied AI Engineer

San Jose, CA · On-site

The person will work at the intersection of electronics engineering, EDA tools and AI to ... Evaluate and implement different algorithms such as simulated annealing, greedy approach, graph ...

Mastercard, Inc.

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

Title and Summary Senior AI Engineer Mastercard's Business & Market Insights (B&MI) group empowers ... and graph data using transformer-based architectures (BERT, CLIP, LLaVA, T5, Whisper, GPT-4o ...

Texas State Library and Archives Commision

AI Engineer

$107K - $146K/yr

Job Summary We are seeking a highly skilled Senior AI Engineer with strong expertise in TypeScript ... graph systems Experience working with streaming pipelines and real-time data systems Exposure to ...

Insight Global

AI Engineer

Atlanta, GA · On-site +1

You will work closely with the Senior AI Engineer and broader engineering team, taking increasing ... Preferred qualifications • Experience with knowledge graphs or property-graph query languages ...

Rishabh Software Pvt. Ltd

AI Engineer

Little Rock, AR · On-site

$109K - $131K/yr

AI Engineer Location: Carmel, IN, Little Rock, AR & Eagan, MN (Hybrid) Duration: Contract to hire ... Graph Database Knowledge, API Usage, Database Querying, Software Development, Applied Mathematical ...

Horizontal Talent

AI Engineer

Chicago, IL · On-site +1

We're looking for a Software Engineer to help take AI solutions from proof of concept to MVP and ... Strong understanding of when to apply relational, NoSQL, graph, vector, and event-driven ...

Avathon

AI Engineer

Pleasanton, CA · On-site

Our platform is built on a Computational Knowledge Graph foundation that contextualizes and ... As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ...

Avathon

AI Engineer

Pleasanton, CA

Our platform is built on a Computational Knowledge Graph foundation that contextualizes and ... As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ...

Kanak Elite Services Inc

AI Engineer

Santa Clara, CA · On-site

ROLE : GENDESIGN / INVERSE DESIGN AI ENGINEER LOCATION: SANTA CLARA, CA, 4 DAYS PER WEEK ONSITE ... Experience with generative AI (LLMs, diffusion models, graph-based models). * Knowledge of ...

Xactus LLC

AI Engineer

Broomall, PA · Remote

$175K - $190K/yr

SUMMARY: The AI Engineer (GenAI Features) specializes in designing, building, and deploying ... Success requires deep expertise in GenAI patterns, knowledge graph design, semantic search, and the ...

Xactus

AI Engineer

Broomall, PA · On-site +1

$175K - $190K/yr

SUMMARY: The AI Engineer (GenAI Features) specializes in designing, building, and deploying ... Design schema and data models for graph databases. Collaborate with data team on AWS Glue ...

Whiztek Corp

Gen AI Engineer

Chicago, IL · On-site

$82K - $111K/yr

Job Title: AI Engineer Location: Chicago, IL Job Type: Hybrid (2 days/week in office) Client ... Manage complex state transitions and data flows between relational databases (AWS Neptune - Graph ...

TEKsystems

Ai Engineer

San Diego, CA · On-site

$30 - $45/hr

AI Engineer (GenAI, RAG, Agentic AI) Are you passionate about building cutting-edge AI solutions? W ... Develop knowledge graph and graph-based retrieval capabilities * Improve AI model performance ...

Tenex

Principal AI Engineer

Kansas City, MO · On-site

As a Principal AI Engineer at TENEX, you will be a key technical leader responsible for designing ... Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature ...

GEI Consultants

AI Engineer

Rancho Cordova, CA · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented ...

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Applied AI Engineer

San Jose, CA • On-site

Advantest
Manufacturing • 1 - 5K employees
Learn more about Advantestexternal

Full-time

Re-posted yesterday

Job description

Position Overview:
We are seeking highly skilled Applied AI Engineer (Software Engineer) to build intelligent systems that automate, optimize and validate PCB design workflows.
The person will work at the intersection of electronics engineering, EDA tools and AI to significantly reduce design cycle time, improve quality and enable next-generation autonomous PCB design capabilities.
The role involves working with large-scale datasets, reinforcement learning, optimization, algorithms, building predictive and deploying ML/AI solutions for complex PCB Design workflows.
What You Will Do
  • Collect, clean and preprocess structured and unstructured data from multiple sources (EDA software etc.)
  • Build working prototypes for AI-assisted PCB Design automation.
  • Design, train and evaluate supervised, unsupervised and RL (reinforcement learning) machine learning models.
  • Implement models such as regression, classification, clustering, time series, GNNs, reinforcement learning and optimization algorithms
  • Formulate automation task as an optimization/RL problem, including state representation, action space, reward design, constraints and evaluation criteria.
  • Evaluate and implement different algorithms such as simulated annealing, greedy approach, graph-based, force-directed methods, constraint solving, ILP/CP-SAT or evolutionary algorithms.
  • Develop RL or learning-guided methods using realistic EDA/PCB design data.
  • Define quality metrics for evaluating layout or assignment solutions based on cost efficiency, design-rule violations, conflict minimization, density and engineering review effort.
  • Create benchmark datasets and evaluation pipelines to compare generated output against baselines and engineer-reviewed layouts.
  • Design data representations for components, nets, board regions, keep-out zones, mechanical boundaries, constraints and connectivity graphs.
  • Build visual/debug tooling to inspect output, failure cases and quality metrics.
  • Work with PCB/layout/domain experts to translate design rules and PCB Design practices (placement, routing etc.) into software constraints.
  • Contribute to the path from research prototype to usable engineering workflow.
  • Ensure AI solutions follow ethical, responsible and explainable AI practices

Required Qualifications /Skills
  • 1-3 years of hands-on software engineering applied ML, optimization, robotics planning, EDA automation, CAD automation or related experience.
  • Strong Python programming.
  • Hands-on experience with PyTorch, JAX, TensorFlow or similar ML frameworks.
  • Practical reinforcement learning experience beyond tutorials, including environment design, reward shaping, training loops, evaluation, and debugging.
  • Strong fundamentals in algorithms, graph methods, search, combinatorial optimization, computational geometry, or constraint solving.
  • Experience solving structured optimization problems such as placement, routing, scheduling, packing, assignment, layout, planning, or path optimization.
  • Ability to independently build prototypes from problem formulation through implementation and evaluation.
  • Experience designing experiments, metrics, benchmarks, and reproducible evaluation pipelines.
  • Strong debugging, testing, profiling, and code-structuring skills.
  • Ability to collaborate with domain experts and convert engineering rules into algorithmic constraints.

Good To Have
  • PCB placement, PCB layout automation, EDA routing/placement, VLSI physical design, CAD/CAM automation or design automation experience.
  • Experience with ECAD/EDA tools such as Cadence Allegro, Altium, Siemens/Mentor, Zuken, KiCa, or similar.
  • Experience with graph neural networks, imitation learning, offline RL, actor-critic methods, policy-gradient methods or hybrid RL + heuristic systems.
  • Experience with OR-Tools, CP-SAT, ILP/MIP solvers, simulated annealing, genetic algorithms, Bayesian optimization or other metaheuristics.
  • Experience with graph/netlist data, geometric layouts, spatial optimization or constraint-heavy engineering data.
  • Experience with Ray/RLlib, Stable-Baselines3, CleanRL, Gymnasium or custom RL environments.
  • GPU training, distributed experimentation, experiment tracking or scalable model evaluation experience.
  • Bachelors/master's in computer science, Electrical Engineering, Robotics, AI/ML, Applied Mathematics, Operations Research, or related field.

Ideal Candidate Backgrounds
  • Senior ML engineer with real reinforcement learning or combinatorial optimization experience.
  • Optimization engineer from robotics, scheduling, logistics, CAD/CAM, GIS, EDA, or spatial planning.
  • EDA/VLSI/PCB automation engineer with strong software and optimization skills.
  • Applied researcher who has shipped or prototyped working systems beyond academic experiments.
  • Software engineer who has built scalable experimental systems for structured optimization problems.

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