• Redesign the design workflow Help us define where design fits in a process where PMs create clickable prototypes with AI tools before handoff. • Establish the new role of design as quality controller, system thinker, and refinement layer. • Build and maintain the design system Ensure our component library, tokens, and patterns are robust enough that AI-generated prototypes get closer to production quality from the start. • QA prototype fidelity Review AI-generated and PM-built prototypes, translate them into production-ready Figma files, and establish quality gates for engineering handoff. • Introduce AI-native design tooling Bring your experience with AI design tools into our workflow. Show the team what's possible and what's practical. Train PMs on how to prompt better prototypes. • Define standards and templates Create reusable prompt templates, prototype review checklists, and design-to-Figma translation workflows that scale across the team. • Collaborate across Product, Solutions, and Engineering Work closely with PMs building prototypes, engineers shipping code from those prototypes, and stakeholders reviewing the output. • Review and improve AI-generated code quality Evaluate the frontend code that AI tools produce from prototypes. Identify patterns where AI output needs human refinement, and help engineers establish review standards for AI-assisted PRs. • Help define AI-assisted engineering workflows Bring hands-on experience with Cursor, Copilot, and Claude/Junie into our engineering process. Help the team build prompt templates, testing patterns, and code review standards for AI-generated code. • Bridge prototype to production Ensure what gets built matches what was validated. You understand both the Figma file and the React component and can spot when they diverge.

• Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows • Integrate IFS Loops platform with customer systems • Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors) • Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption • Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap • Document technical decisions and hand off stable deployments to customer engineering or support teams

Description Job Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. We are looking for a Principal Technical Lead Manager (TLM) to lead the Trajectory Generation team within the Embodied AI organization. This role combines deep technical leadership in machine learning and robotics with people leadership and organizational impact. Trajectory generation is one of the most critical components of an autonomous driving system. It is responsible for producing the precise vehicle motion plans that determine how the car moves through the world - lane changes, merges, turns, yielding, obstacle avoidance, and complex interactions with other road users. Every decision ultimately manifests as a trajectory executed by the vehicle. As the leader of this team, you will shape the algorithms and ML systems that translate sensor inputs into safe, smooth, and human-like driving behavior across diverse real-world scenarios. You will lead a high-performing team of engineers building ML-driven trajectory generation systems, and drive the roadmap that takes these models from research to production deployment on vehicles. This role requires someone who can set technical direction, mentor senior engineers, and lead large cross-functional initiatives, while remaining deeply involved in the technical architecture and modeling strategies. What You'll Do: - Define and drive the technical vision and architecture for trajectory generation systems used in autonomous driving. - Lead the development of ML-based trajectory generation models capable of handling complex and dynamic driving environments. - Architect scalable training pipelines using large-scale driving datasets and simulation environments. - Guide the integration of trajectory generation models into real-time onboard systems with strict latency and safety requirements. - Influence the design of next-generation embodied AI architectures for driving. - Mentor senior engineers and help develop the next generation of technical leaders. - Raise the bar for engineering excellence, modeling rigor, and production-quality systems. - Foster a culture of innovation, ownership, and collaborative problem solving. - Lead complex technical initiatives spanning multiple teams across the autonomous driving stack. - Collaborate closely with teams working on: data, perception, simulation, safety validation, onboard systems. - Define roadmaps and priorities aligned with product milestones and safety goals. - Drive solutions from research prototypes through production deployment. Your Skills & Abilities: - MS or PhD in Computer Science, Robotics, Machine Learning, or related field. - Experience leading technical teams delivering production ML systems. - Deep expertise in one or more areas: robotics planning and control, imitation learning or reinforcement learning, generative models, large-scale machine learning systems - Strong software engineering skills (Python, C++, or similar). - Experience deploying ML models into real-world or safety-critical environments. - Demonstrated ability to define architecture and drive large technical initiatives across teams. Preferred Qualifications - Experience with autonomous driving, robotics, or embodied AI systems. - Background in trajectory planning, motion planning, or behavior modeling. - Experience with large-scale training infrastructure and distributed ML pipelines. - Experience with simulation-based training or evaluation of driving policies. Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. - The salary range for this role is $296,300.00 to $423,900.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Relocation: This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #LI-CX1 #GM-AV-1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #LI-Hybrid Job Description Are you passionate about AI and eager to drive innovation in a fast-paced, impact-driven environment? Do you have experience developing AI-powered applications and enjoy mentoring others? If so, we invite you to join Nexthink as an Senior AI Engineer! As a senior member of the AI team, you will prototype, mature, and ship AI-powered capabilities into Nexthink's cloud platform. You will lead architectural decisions, establish best practices, and ensure AI systems are scalable, observable, and production-grade. Responsibilities AI Engineering & Architecture - Design, develop, and operate production-grade AI/ML systems, including LLM-powered applications, NLP models, RAG pipelines, and multi-agent systems - Make key architectural decisions across model selection, training strategies, fine-tuning, retrieval mechanisms, orchestration layers, and infrastructure - Integrate external AI services (e.g., LLM providers) into Nexthink's cloud platform - Solve engineering challenges related to data collection, retrieval, evaluation, inference, latency, and cost optimization AI Done Right - Evaluation & Quality - Define robust online and offline evaluation frameworks and success metrics - Instrument dashboards and monitoring systems to track quality and detect regressions in production - Design automated evaluation pipelines for prompts, embeddings, models, and agent workflows - Ensure observability and reliability of AI systems at scale MLOps & Cloud Engineering - Implement and maintain reproducible ML pipelines and CI/CD workflows for AI components - Manage deployment, monitoring, and lifecycle of models and AI artifacts in production - Optimize systems for scalability, performance, throughput, and cost - Work with AWS (or equivalent cloud platforms), Docker, and orchestration frameworks (Kubernetes/ECS) Product & Cross-Functional Collaboration - Collaborate closely with product managers, designers, software engineers, and data scientists - Translate ambiguous product requirements into incremental, testable engineering plans - Proactively propose new AI capabilities based on user insights and technology advancements - Communicate complex AI concepts clearly to both technical and non-technical stakeholders Leadership & Mentorship - Mentor and coach junior AI engineers in production best practices - Establish engineering standards and AI best practices within the team - Foster a culture of experimentation, learning, and knowledge sharing Qualifications - Bsc/Master's degree in Computer Science, Machine Learning, Data Science, or a related field. - 5+ years of professional software engineering experience, including shipping and operating cloud services in production - Hands-on experience in LLM-powered production applications or ML/NLP applications. - Strong proficiency in Python and AI frameworks - Strong understanding of machine learning fundamentals (supervised/unsupervised learning, optimization, model evaluation). - Solid understanding of machine learning fundamentals (training, optimization, evaluation) - Experience with NLP systems (embeddings, semantic search, retrieval systems, text classification, etc.) - Experience integrating and operating LLMs (prompting, evaluation, observability, RAG, agentic workflows) - Hands-on MLOps experience: reproducible pipelines, experiment tracking, automated evaluation, CI/CD for models and prompts - Knowledge of reinforcement learning, retrieval-augmented generation (RAG), and multi-agent AI architectures. - Strong data intuition: ability to inspect logs, design metrics, and quickly identify regressions - Proven experience with AWS and cloud-based AI deployments. - Strong communication skills in English, capable of explaining complex AI concepts to technical and non-technical stakeholders - Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Strong Plus - Strong AWS (or equivalent cloud platform) experience for scalable AI infrastructure. - Experience optimizing models for latency, throughput, and cost. - Experience fine-tuning large language models. - Familiarity with multi-agent systems and orchestration frameworks. - Experience designing AI systems in enterprise or B2B environments. If you're excited about pushing the boundaries of AI and mentoring the next generation of engineers, we'd love to hear from you! Even if you don't meet every requirement, we encourage you to apply-we value expertise, passion, and the drive to learn. Additional Information We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers' IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace. With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees 'Nexthinkers' and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages. If you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer: - Permanent Contract and a competitive compensation package. - Beautiful office, conveniently located next to the Prilly-Malley train station - Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding. - Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 25 days of holidays we offer) plus 3 company-paid volunteer days. - Free access to a fitness centre inside the building. - Reimbursement of the half-fare travel card for public transport. - ‍ Reimbursement up to 50% of the cost of French classes. - Fresh fruit, cookies, and soft drinks as well. - Regular company and team events like Voluntary Days, Pizza talks, Team Building activities, hosting Meetups at the office and more! - Bonuses for referring successful hires after three months of continuous employment. - We offer a relocation package to people who are coming from another country. Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner.