AI Engineering Leader—Robotics Innovation Job at Nondestructive & Visual Inspection (Burlington)

Senior Director, Government Affairs

In the role of Senior Director, Government Affairs you will serve as Microsoft's...

Location

United States , Washington D.C.

Salary:

160700.00 - 284400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Public Policy, Public Administration, Political Science, Business Administration, Technology, Law, Liberal Arts, Engineering, or related field AND 8+ years work experience in government affairs, corporate affairs, public policy, government, or related area
OR equivalent experience

Job Responsibility

U.S. AI Policy Strategy & Frontier Governance: Leads Microsoft's U.S. AI policy strategy across government, industry, and third parties in Washington, DC
Develops and executes Microsoft's approach to U.S. AI policy in close collaboration with ORA, Standards and Security teams, including federal legislation, national standards, and federal–state alignment, ensuring coherence across governance, innovation, and deployment priorities
Helps shape Microsoft's federal policy positions on emerging and high-stakes frontier AI policy questions, including agentic systems, recursive self-improvement, model access and security, and evaluation frameworks
Translates technical and policy developments into actionable strategy: Converts fast-moving legislative, regulatory, and technical developments into clear guidance, decision-ready materials, and strategic recommendations for senior leadership—ensuring alignment with Microsoft's product, research, and security priorities
Drives technically grounded coalition and ecosystem engagement: Leads engagement with policymakers, peer companies, civil society, and thought leaders in Washington to advance credible, evidence-based AI policy outcomes, with an emphasis on building durable consensus and reinforcing Microsoft's role as a trusted, technically informed voice
Leads cross-functional integration of AI policy across priority domains: Partners across USGA and CELA to integrate AI policy into broader agendas, including national security, workforce and labor, science and research policy, and global competitiveness—ensuring consistency with Microsoft's end-to-end AI strategy
Physical AI, Robotics, and Autonomous Systems Policy: Builds Microsoft's federal policy agenda for physical AI: Co-develops and advances Microsoft's U.S. policy strategy on physical AI, including robotics, autonomous systems, embodied AI, and industrial AI—establishing this domain as a core and forward-looking pillar of the company's AI policy work
Translates technical innovation into policy leadership: Serves as the convener and collaborator between ORA, Microsoft Research, the Office of the Chief Science Officer, and product teams, distilling cutting-edge R&D into clear policy positions and legislative frameworks for U.S. policymakers
Leads early-stage policymaker engagement and thought leadership: Builds and maintains relationships across the White House, Congress, and key agencies (e.g., DOC, DOD, DOE, NIST) to shape emerging U.S. approaches to physical AI and position Microsoft as a trusted leader in safe and responsible deployment
Integrates physical AI into broader AI and industrial policy frameworks: Ensures alignment of robotics and embodied AI policy with Microsoft's broader positions on AI governance, workforce transformation, supply chains, infrastructure, and national competitiveness—reflecting the convergence of digital and physical systems

Fulltime

Pega Workflow Integration Lead Senior Vice President

We are looking for a highly experienced and dynamic Senior Vice President (SVP),...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in enterprise software architecture, design, and development, with a significant portion in the financial services industry
8+ years proven experience at a senior level (VP, Director, or equivalent) leading large-scale technology initiatives
5+ years experience and expert-level, hands-on proficiency with the Pega Platform, including deep experience with Case Management, Decisioning, and system administration
Pega Lead System Architect (LSA) certification is highly preferred
Extensive hands-on experience with Fenergo CLM, including solution design, configuration, and integration for complex financial institutions
Demonstrable, practical experience using and integrating AI coding assistants (e.g., GitHub Copilot, Devin, Tabnine) into development workflows to drive efficiency and innovation
Mastery of Business Process Management (BPM), Robotic Process Automation (RPA), and Case Management principles
In-depth understanding of Client Lifecycle Management (CLM), KYC, AML, and other regulatory processes in banking
Strong background in object-oriented programming (Java preferred)
Expertise in integration technologies, including REST APIs, SOAP, and messaging queues (e.g., Kafka, JMS)

Job Responsibility

Architectural Leadership: Design and own the end-to-end architecture for enterprise-wide workflow solutions, focusing on scalability, performance, and reusability
Hands-On Development: Act as the lead technical authority, engaging in hands-on prototyping, proof-of-concepts, and complex development work within Pega and Fenergo CLM platforms
AI Integration: Pioneer the integration of AI development assistants (Devin, Copilot, etc.) into our software development lifecycle (SDLC) to enhance developer productivity, improve code quality, and foster innovation
Technical Strategy: Define and maintain architectural standards, best practices, and design patterns for workflow automation and CLM. Evaluate and recommend new technologies, frameworks, and tools
Stakeholder Collaboration: Partner closely with business leaders, product owners, and technology teams to translate complex business requirements into robust and efficient technical solutions
Team Mentorship: Lead and mentor a team of architects and developers, fostering a culture of technical excellence, continuous learning, and innovation
Governance and Compliance: Ensure all solutions adhere to the firm's stringent security, data privacy, and regulatory standards
Problem Solving: Tackle the most challenging technical issues, providing expert guidance on system design, performance tuning, and integration complexities

Fulltime

Senior Manager, Embodied AI

We are seeking an experienced and technically strong Senior Engineering Manager ...

Location

United States , Sunnyvale

Salary:

296300.00 - 453900.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Robotics, Computer Science, Engineering, or a related technical field
Proven experience managing and scaling high-performing engineering teams with a focus on operational excellence
Demonstrated ability to inspire and motivate teams, drive best practices, and deliver continuous improvement
Track record delivering scalable software solutions to a production environment using Python
Proven experience in solving data scaling challenges, ranging from data diversity, data quality and building best practices to incorporate multiple data sources in large models
Excellent communication, collaboration, and mentoring abilities, with a passion for driving innovation in autonomous technology
Strong organizational, communication, and people leadership skills

Job Responsibility

Manage a team of AI/ML engineers building and scaling the Data Flywheel at GM
Raise the engineering bar of the team: set best practices, give feedback, and provide mentorship to direct reports
Drive the technical vision for aspects of Data Foundations at GM, working with senior leaders and members of your team
Define the project roadmap, set development priorities, and align the team's work with company objectives and product milestones
Collaborate cross-functionally with teams involved in AV model development and validation and ensure we meet organizational goals, product requirements and scaling needs
Promote a collaborative, inclusive, and high-performance team culture, and champion the GM engineering values and principles

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Ai Developer Sr

Location

Mexico , Mexico

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree or similar education in computer science, natural sciences, mathematics, statistics, engineering, or equivalent work experience
Minimum of 3 years of experience in engineering autonomous systems or equivalent experience in vehicle engineering, cloud engineering, or software engineering
Proficiency in programming languages such as Python, Java, Javascript, or C++
Demonstrated ability to lead and mentor technical teams, fostering a collaborative and innovative work environment
Fluency in Terraform, AWS, Google Cloud, or Microsoft Azure and experiencing building infrastructure and tooling for cloud-based software
Experience in Agile methodologies and project management tools (e.g., Jira, Trello) to effectively manage project timelines and deliverables
Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders
Experience and demonstrated track record of building and deploying hardware or software for AI training or autonomous systems
Strong background in computer vision, natural language processing, autonomous driving, robotics, or general engineering of autonomous systems
Experience translating AI-related research into products through software engineering

Job Responsibility

Develop and implement the strategic vision for AI applications within Toyota, ensuring alignment with corporate objectives and driving transformative innovation across multiple business units
Lead and inspire cross-functional teams in the design, development, and deployment of cutting-edge AI solutions, guaranteeing that projects are delivered on time, within scope, and aligned with overarching business goals
Provide expert technical guidance in machine learning, deep learning, hardware engineering, and software engineering, ensuring adherence to best practices while fostering a culture of continuous improvement and innovation
Collaborate closely with senior leadership, product managers, and key stakeholders to identify high-impact AI opportunities, define comprehensive project requirements, and effectively communicate progress and outcomes
Mentor and cultivate a high-performing team of AI engineers, promoting professional development and career growth through targeted training, performance feedback, and leadership opportunities
Stay at the forefront of industry trends and emerging technologies in AI, driving research initiatives that position Toyota as a leader in AI applications and solutions
Identify and assess potential risks associated with AI projects, implementing robust mitigation strategies to ensure compliance with regulatory standards and ethical considerations
Advise on architectural designs and establish technical requirements for scalable AI-oriented software systems
Contribute to codebases for several different software projects and build infrastructure for new AI tools throughout the enterprise
Work within a small team of engineers in a fast-paced environment to turn new AI research into real products and services

Fulltime

Manager, Finance - Software and Services

The Manager, Finance – Software and Services serves as a strategic partner to GM...

Location

United States , Mountain View; Sunnyvale

Salary:

132300.00 - 207400.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

10+ years of progressive experience in finance, ideally in technology, cloud, or AI-focused environments
3+ years of proven experience in people management, with a track record of developing talent and driving team performance
Strong understanding of cloud economics, SaaS models, and AI business valuation
Advanced proficiency in financial modeling, forecasting, and strategic planning
Experience with ERP systems, financial reporting tools, and Excel (Power Query, pivot tables, scenario modeling)
Excellent communication and storytelling skills – able to translate complex financial insights into actionable recommendations
Bachelor’s degree in finance, accounting, economics, or related field

Job Responsibility

Lead financial planning, forecasting, and performance analysis for GM’s AI organization
Support the valuation of AI initiatives across Robotics, Manufacturing, Procurement, Quality, Finance, AI-enabled coding and other areas by partnering with technical and business leaders to assess the ROI, NPV, and IRR of AI investments and ensure alignment with GM’s long-term strategy
Establish KPI reporting frameworks and collaborate with Engineering and Product teams to meet AI ROI targets
Develop and maintain financial models to support AI-driven business cases and strategic decision-making
Own GM’s Cloud budget across hyperscalers (Azure, GCP, AWS) and on-prem infrastructure, playing a key role in optimizing and managing our cloud spend across multiple public cloud platforms
Collaborate with the FinOps team to build world-class cloud cost optimization capability
Partner with procurement team on SW purchases and cloud contracts and build relationships with infrastructure engineering, accounting and partnerships teams to deliver business insights
Drive cost transparency, efficiency, and accountability across cloud spend categories
Lead initiatives to improve forecasting accuracy, optimize cloud usage, and reduce waste
Manage, mentor, and develop a high-performing team of financial analysts

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Senior AI Developer

The Senior AI Developer role at NTT DATA involves developing and implementing AI...

Location

Mexico

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree or similar education in computer science, natural sciences, mathematics, statistics, engineering, or equivalent work experience
Minimum of 3 years of experience in engineering autonomous systems or equivalent experience in vehicle engineering, cloud engineering, or software engineering
Proficiency in programming languages such as Python, Java, Javascript, or C++
Demonstrated ability to lead and mentor technical teams
Fluency in Terraform, AWS, Google Cloud, or Microsoft Azure and experiencing building infrastructure and tooling for cloud-based software
Experience in Agile methodologies and project management tools (e.g., Jira, Trello)
Excellent verbal and written communication skills
Experience and demonstrated track record of building and deploying hardware or software for AI training or autonomous systems
Strong background in computer vision, natural language processing, autonomous driving, robotics, or general engineering of autonomous systems
Experience translating AI-related research into products through software engineering

Job Responsibility

Develop and implement the strategic vision for AI applications within Toyota, ensuring alignment with corporate objectives and driving transformative innovation across multiple business units
Lead and inspire cross-functional teams in the design, development, and deployment of cutting-edge AI solutions, guaranteeing that projects are delivered on time, within scope, and aligned with overarching business goals
Provide expert technical guidance in machine learning, deep learning, hardware engineering, and software engineering, ensuring adherence to best practices while fostering a culture of continuous improvement and innovation
Collaborate closely with senior leadership, product managers, and key stakeholders to identify high-impact AI opportunities, define comprehensive project requirements, and effectively communicate progress and outcomes
Mentor and cultivate a high-performing team of AI engineers, promoting professional development and career growth through targeted training, performance feedback, and leadership opportunities
Stay at the forefront of industry trends and emerging technologies in AI, driving research initiatives that position Toyota as a leader in AI applications and solutions
Identify and assess potential risks associated with AI projects, implementing robust mitigation strategies to ensure compliance with regulatory standards and ethical considerations
Advise on architectural designs and establish technical requirements for scalable AI-oriented software systems
Contribute to codebases for several different software projects and build infrastructure for new AI tools throughout the enterprise
Work within a small team of engineers in a fast-paced environment to turn new AI research into real products and services

Phd student in extinction risk modelling

The German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzi...

Location

Germany , Leipzig

Salary:

Not provided

Friedrich-Schiller-Universität Jena

Expiration Date

July 14, 2026

Requirements

Successfully completed university degree (Masters or equivalent) with a focus on organismic biology, ideally an MSc in zoology, ecology, palaeontology, or a related discipline
Good knowledge of ecological and evolutionary concepts and systems, e.g. species extinction, conservation biology, trait-based ecology
experience in mammalian biology will be of advantage
Advanced experience in a programming language (ideally R) and basic quantitative and statistical expertise (e.g. linear models, PCA)
more advanced statistical experience will be of advantage, e.g. phylogenetic comparative models, fossil diversity analyses, extinction or diversification rates
Strong oral and written communication skills in English

Job Responsibility

You develop trait-based macroecological research that models extinction of mammalian species in the fossil record and extinction risk in the present and future, based on the project proposal funded by the German Research Foundation DFG
You closely work with project partners who focus on the drivers of population decline and geographic range changes to assist in developing joint conceptual and modelling frameworks for extinction risk
You handle ecological databases with many species and their traits, utilizing computer code in the R computing environment to run statistical analyses and models, e.g. estimation of extinction rates in the fossil record, phylogenetic comparative methods
You conduct scientific work that qualifies you for a PhD degree in biology, including publications of scientific papers in international peer-reviewed journals
You present your research at national and international meetings and conferences

What we offer

An intellectually stimulating, independent and varied scientific activity with creative freedom
An international, English-speaking research environment with regular integrative group activities and a collaborative, supportive atmosphere
The opportunity to participate in our targeted iDiv doctoral training program and the University of Jena graduate academy, which offer workshops, coaching, mentoring and networking events for PhD students
A modern, family-friendly working environment with attractive working conditions (flexible working hours, mobile work)
Remuneration based on the provisions of the Collective Agreement for the Public Sector of the Federal States (TV-L) up to salary scale E13 — depending on the candidate’s personal qualifications—, including a special annual payment in accordance with the collective agreement
30 days of vacation per calendar year plus two days off on December 24 and 31

Parttime

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PayOps Analyst

The PayOps Analyst is the operational heartbeat of Mews’ Payment Operations func...

Location

United States

Salary:

114500.00 - 135000.00 USD / Year

Mews

Expiration Date

Until further notice

Requirements

6+ years of experience in payments, operations, or fintech
Hands-on experience with PSPs, ideally Stripe and or Adyen
Airwallex or an equivalent provider is also relevant
Strong understanding of card acquiring, payout processes, and authorisation flows
Strong analytical and problem-solving skills, with confidence using data to investigate incidents and identify patterns
Experience with Jira, Confluence, Slack, and operational dashboards
familiarity with Power BI or Databricks is a plus
Clear, effective communication across internal teams and external partners
Regulated financial services experience is helpful, but not required
strong technical PSP experience is the priority

Job Responsibility

Monitor payout timeliness, authorisation success rates, SLA breaches, dispute prevention readiness, and fee accuracy across Stripe and Adyen
Log and manage incidents in the Jira Service Portal, ensuring clear ownership, SLA tracking, and resolution from triage through to close
Perform root cause analysis on recurring failures, escalating where needed and feeding insights back to the PayOps Manager
Support operational readiness checklists for PSP and vendor onboarding, new market entries, and feature launches
Coordinate with Customer Support, Product, FinTech R&D, FinCrime, and PSPs or vendors to resolve escalations quickly and effectively
Prepare weekly KPI reporting and monthly PSP or vendor performance summaries
Maintain the runbook library for recurring issues and standard operating tasks
Flag recurring incidents into the Operational Risk Register for governance review
Track PSP and vendor SLA adherence and provide clear metrics to the PayOps Manager
Draft first-line merchant communications for outages or incidents, with final approval from the PayOps Manager

What we offer

Participation in our company share program
Best-in-class parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available within your first year)
Unlimited paid holiday
Work from anywhere - enjoy the flexibility to work from other countries for a few weeks each year through our compliant and flexible Workation policy
Relocation options available after 1 year
Monthly "EDGE" time - dedicated to Explore, Develop, Grow, and Elevate yourself
Flexible, hybrid working options
One-off home office setup budget to make your workspace your own
Monthly working-from-home and healthcare allowances (where local healthcare benefits are not in available)

Fulltime

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AI Engineering Leader—Robotics Innovation

Job Description

Job Responsibility

Requirements

What we offer

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