Senior AI/ML Engineer, Physical AI Solutions Job at Teradyne (North Reading)

Senior Engineer / Lead Engineer - Virtual Engineering - AI CFD

Senior Engineer / Lead Engineer – AI CFD will Drive AI innovation in CFD domain....

Location

India , Bengaluru

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor’s or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar
5+ years experience in CFD at Automotive Product Development / Manufacturing Engineering
2+ years experience in implementing AI solutions in CFD
Should have executed at least 5+ years of Core CFD domain (from problem definition to deployment) experience
Strong programming skills in Python and C++ for automation and solver integration
Experience with ML frameworks like Pytorch, TensorFlow
Knowledge of surrogate modeling, reduced-order modeling (ROMs), and regression techniques
Experience in data handling (large-scale CFD datasets) and feature engineering(feature extraction from flow fields like velocity, pressure, turbulence quantities)
Strong problem-solving and analytical mindset
Understanding of data annotation tools and MLOps workflows

Job Responsibility

Collaborate with stakeholders to understand business challenges in the CFD space and solve them using API based customization and AI methodologies
Collect, clean, annotate, and prepare datasets for text analysis and image comparison tasks
Design, develop, and fine-tune AI/ML models for: Automating mesh generation, solver setup, and post-processing of CFD results
Building optimization pipelines for thermal and fluid systems using AI-assisted approaches
Evaluate, validate, and benchmark model performance using appropriate metrics
Deploy AI models into production environments in collaboration with IT/AI teams
Establish monitoring and maintenance processes to ensure model accuracy over time
Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements
Document workflows, results, and lessons learned for organizational knowledge sharing
Stay updated on advancements in neural networks, multi-physics simulations, surrogate modelling and physics-informed learning techniques

Fulltime

Staff Software Engineer, (Backend) Uber AI Solutions

At Uber, our mission is to be the platform of choice for flexible earning opport...

Location

United States , San Francisco, California; Sunnyvale, California

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s (or Master’s) degree in Computer Science, Engineering or related discipline (or equivalent experience)
Expert in at least one major backend or infrastructure technology (languages, frameworks, distributed systems, data pipelines) and comfortable influencing architecture across teams
Strong record of mentoring and developing engineers, setting technical standards, and driving impact beyond a single team
Excellent communication and collaboration skills
able to engage with multiple teams, stakeholders, and articulate vision and trade-offs
Experience participating in hiring and helping build out engineering teams or capability
8+ years of professional software engineering experience, with substantial experience designing, building, and operating large-scale systems across multiple teams
Deep understanding of ML Ops ecosystems, LLM or ML model lifecycle management, and large-scale data processing frameworks (e.g., Kubeflow, Airflow, Ray, Spark)
Proven experience architecting systems for data labeling, translation, or human-in-the-loop workflows supporting high-volume ML applications
Strong familiarity with GenAI, Physical AI and LLM infrastructure model hosting, fine-tuning, evaluation, and integration into production services

Job Responsibility

Architect and evolve core systems that span multiple teams, ensuring scalability, performance, and long-term maintainability of critical platform services
Provide technical leadership across teams, driving alignment on design patterns, service interfaces, and shared infrastructure investments
Mentor and develop senior engineers, elevating technical depth, decision-making, and design rigor across the broader group
Champion the adoption of AI-assisted development tools and modern engineering practices to improve code quality, reliability, and delivery speed across teams
Influence hiring and talent development, helping shape team composition and maintaining a high engineering bar across multiple teams

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Senior People Scientist

The Sr People Scientist is responsible for supplying to the development of an en...

Location

United States , Bellevue

Salary:

127700.00 - 230300.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering)
Master's/Advanced Degree Quantitative Subject area (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
Doctorate Quantitative Discipline (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
7-10 years Research science or related experience
Proven experience with Gen AI for foundational models and LLM and demonstrating for analytics
4-7 years Combination of deep technical skills and business savvy to interface and influence all levels and fields

Job Responsibility

Support the vision and research science roadmap in collaboration with the HR leadership team and senior leadership partners
Collaborate in identifying and addressing large-scale, sophisticated business problems related to employee experience, talent, and organizational capability
Drive the development and integration of diverse and complex data sources for advanced and sophisticated qualitative and quantitative modeling
Contribute to maintaining high standards in research science, including supporting the mentoring and development of team members
Develop and implement network analytics, AI/ML, and Deep Learning models to analyze sophisticated datasets and support innovation in people science
Build and run true A/B and quasi-experimental designs to assess the impact of mechanisms, programs, and various tested solutions that align to the overall T-Mobile people strategy
evaluate research initiatives to provide bottom line value, return on investment and improvements
Translate technical research findings into clear, concise, and engaging reports that support decisions and applications across the employee lifecycle
Collaborate with multiple teams and account teams to influence, build consensus, and drive significant T-Mobile wide changes related to applying research science proposals and recommendations, including changes to programs, engineering and system needs, and people strategy roadmaps

What we offer

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

New

Senior Applied AI Engineer

As an Senior Applied AI Engineer for CXA, you will play a pivotal role in advanc...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field, OR Master’s degree OR PHD AND 1+ years of experience working with machine learning libraries to solve real world AI/ML problems
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Strong 7+ software engineering skills, including hands‑on development experience in C# and Python for building scalable, high‑performance, and production‑ready systems
Experience in working with Generative AI models and ML stacks
Experience across the product lifecycle from ideation to shipping

Job Responsibility

Build collaborative relationships with product and business groups to deliver AI-driven impact
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
Fine-tune foundation models using domain-specific datasets
Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis
Apply strong software engineering skills in languages such as C# and Python to design, develop, and optimize scalable, reliable, and maintainable AI‑driven systems
Develop LLM prompts, agents, and query execution workflows, often with tight latency constraints
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps
Contribute to papers, patents, and conference presentations
Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts

Fulltime

Senior AI Engineer

Prompt is a mission-driven startup looking for an experienced Senior AI Engineer...

Location

Salary:

160000.00 - 220000.00 USD / Year

Prompt

Expiration Date

Until further notice

Requirements

4+ years of experience building AI/ML systems in industry or academia, with meaningful production ownership
Strong experience building and operating AI systems end-to-end, not just models in isolation
Strong experience with LLM-based systems (programmatic prompt optimization, evaluation, prompting, structured outputs, RAG, multi-step workflows)
Solid understanding of evaluation and measurement for AI systems (offline metrics, online monitoring, regressions, cost tracking)
Ability to work closely with non-technical stakeholders to translate workflows into effective AI solutions
Strong software engineering fundamentals and ability to ship maintainable, production-grade systems
Track record of benchmarking and iteratively improving accuracy, cost, and latency
Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders
Python (>3.9)
Docker (Basics)

Job Responsibility

Drive Prompt’s mission to improve healthcare through modern technology including AI
Lead AI projects from ideation → architecture → production → iteration until tools are widely adopted and loved!
Design, build, and deploy end-to-end AI systems across both traditional ML and LLM-based workflows
Partner with stakeholders across the company to understand workflows, define success criteria, and deliver practical solutions
Supporting internal as well as product-facing AI initiatives as needed
Design and implement evaluation, monitoring, and observability metrics (accuracy, cost, latency, and business impact)
Build guardrails around LLM pipelines including validation and human-in-the-loop workflows
Develop rapid proofs-of-concept and prototypes, then harden them into reliable systems
Help grow and lead the AI team, including training and development of junior team members

What we offer

Competitive salaries
Remote/hybrid environment
Potential equity compensation for outstanding performance
Flexible PTO
Company-wide sponsored lunches
Company paid disability and life insurance benefits
Company paid family and medical leave
Medical, dental, and vision insurance benefits
Discounted pet insurance
FSA/DCA and commuter benefits

Fulltime

AI Product Builder

About the Role: Abnormal Security is revolutionizing both cybersecurity and inte...

Location

United States

Salary:

148800.00 - 175000.00 USD / Year

Abnormal Security

Expiration Date

Until further notice

Requirements

Technical degree (Computer Science, Engineering, Mathematics, Physics, or similar)
Coursework or practical experience in AI/ML, product development, or entrepreneurship
Prior experience in product management or software engineering, ideally with exposure to AI-enabled products
Strong understanding of LLMs, AI agents, and contemporary AI tooling
Proficiency in at least one programming language (Python preferred) and comfort using AI-assisted development tools
Clear communicator capable of influencing senior and executive stakeholders

Job Responsibility

Own the AI transformation strategy for a specific GTM function, defining a roadmap that delivers measurable operational impact
Build and ship AI-powered solutions using LLMs, agent frameworks, and AI coding tools (e.g., Cursor, Claude Code)
Lead technical design and architecture decisions, creating reusable components that accelerate future AI development
Deliver production-grade automations that fundamentally reshape how sales, marketing, or customer success teams operate
Communicate progress, business impact, and demos directly to executive leadership

What we offer

bonus
restricted stock units (RSUs)

Fulltime

Senior Applied AI Engineer

As a Senior AI Applied Scientist for The Customer Service Applications Team, you...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field AND 4+ years of experience in AI/ML, predictive analytics, or research
OR Master’s degree AND 3+ years of experience
OR PhD AND 1+ year of experience
OR equivalent experience
1+ years of experience with generative AI OR LLM/ML algorithms
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Build collaborative relationships with product and business groups to deliver AI-driven impact
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
Fine-tune foundation models using domain-specific datasets
Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps
Contribute to papers, patents, and conference presentations
Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts
Proven programming expertise (e.g., in Python or leveraging AI-first IDEs and SWE agents), with a strong record of building reliable, well-documented research code that drives rapid experimentation, scalable evaluation, and efficient deployment from prototype to production in applied AI research
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact

Fulltime

Senior Software Engineer

As a Senior Software Engineer in the AI Research & Solutions group, you will be ...

Location

United States , Menlo Park

Salary:

Not provided

OutSystems

Expiration Date

Until further notice

Requirements

Software Engineering Foundation: 5+ years of experience building production software, with demonstrated ability to own and deliver complex features end-to-end
Python Proficiency: Strong hands-on experience with Python
ability to write clean, maintainable, and performant code
AI/ML Systems Exposure: Practical experience working with LLMs, AI agents, or ML systems—whether in industry, research, or open-source projects
API & Integration Skills: Experience designing and consuming REST/gRPC APIs
understanding of distributed systems patterns (queues, event-driven architectures, microservices)
Cloud-Native Familiarity: Working knowledge of containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, Azure, or GCP)
Strongly Preferred: Elixir/OTP Experience: Hands-on experience with Elixir and OTP patterns—GenServers, Supervisors, Applications, and Phoenix
Background Flexibility (We Value Diverse Paths): Academic Contributors Welcome: We value candidates from research backgrounds—whether you completed a PhD, contributed to open-source projects during your studies, or built software to support your research in mathematics, physics, philosophy, or computational sciences
Abstraction Thinkers: If you've written code that models complex systems—whether that's physics simulations, formal logic systems, or distributed algorithms—we want to hear from you

Job Responsibility

Agentic Application Development: Build Agent Components: Design and implement production-grade components for AI agents—tools, orchestration logic, memory systems, and integrations with enterprise data sources
Quality & Reliability: Own the quality of your deliverables, writing robust, well-tested code that operates reliably in production environments
Performance Optimization: Profile and optimize agent behavior, API latencies, and resource consumption to meet enterprise-scale demands
Integration & Systems Thinking: Bridge Systems: Develop connective tissue between AI agent backends and the OutSystems low-code platform, ensuring seamless data flow and secure API contracts
Abstraction Design: Contribute to the design of software abstractions that enable agents to reason about and interact with complex legacy systems and modern architectures alike
Cross-Functional Delivery: Collaborate with researchers, product managers, and platform engineers to translate requirements into working solutions
Mentorship & Technical Growth: Mentor Junior Engineers: Support the growth of engineers through code reviews, pairing sessions, and knowledge sharing
Continuous Learning: Stay current with advances in agentic AI, LLM orchestration frameworks, and systems engineering practices
Documentation: Contribute to internal best practices, architecture decision records, and onboarding materials

What we offer

A company that is always growing, changing, and innovating
Real career opportunities
Work colleagues that are as smart, hard-working, and driven as you
Disrupting the status quo is in our DNA
We ask “why” a lot
OutSystems nurtures an inclusive culture of diversity, where everyone feels empowered to be their authentic self and perform at their best

Fulltime

Senior AI/ML Engineer, Physical AI Solutions

Teradyne

Location:
United States , North Reading

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 21, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Senior AI/ML Engineer, Physical AI Solutions

Senior Engineer / Lead Engineer - Virtual Engineering - AI CFD