Principal Engineer, Investment Systems

Join our innovative Behaviors team at Motional, where you will work alongside leading ML engineers dedicated to advancing self-driving technology and making a meaningful social impact. Our team specializes in developing sophisticated machine learning models that enable autonomous vehicles to navigate real-world traffic scenarios effectively. These models inform our vehicle's behavior and predict interactions with other road users, including vehicles and pedestrians.We are seeking exceptional leaders and technical experts passionate about Level 4 autonomous driving technology. If you thrive on intellectual challenges and wish to accelerate your career with a dynamic, rapidly growing company, we want to hear from you!Your Responsibilities:Define and oversee motion planning and prediction projects aimed at enhancing the safety, comfort, and legality of our self-driving vehicles in complex traffic environments.Lead, mentor, and expand a talented team of engineers.Design and implement advanced behavior models utilizing cutting-edge machine learning, generative AI, and reinforcement learning techniques.Transition solutions into production and deploy them across our fleet of autonomous vehicles.Collaborate with perception, simulation, data platforms, and integration teams to validate and optimize the performance of your solutions in real-world scenarios.Communicate strategies, progress, and challenges to the executive leadership team.

Mission Overview: As a Principal Engineer and Technical Lead at Motional, you will spearhead a dynamic team dedicated to creating and implementing advanced trajectory planning algorithms through numerical optimization for autonomous vehicles. You will play a pivotal role in designing the motion planning and control systems that empower our fleet to navigate through intricate environments with safety, efficiency, and comfort. As a vital leader, you will not only enhance the development and performance of innovative trajectory generation algorithms but also collaborate with multidisciplinary teams including Planning, Perception, Prediction, Localization, Machine Learning Products, and Systems Engineering. Additionally, you will mentor a skilled group of engineers to deliver cutting-edge solutions. If you are enthusiastic about autonomous driving and wish to contribute to our commercial launch this year, enjoy tackling challenging real-world problems, and are eager to make a profound impact in a rapidly evolving domain, we invite you to connect with us! Your Responsibilities: Lead and expand a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization. Prepare for commercial launch readiness by enhancing on-road driving behavior (safety, comfort, assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovative methodologies. Utilize a systematic, metrics-driven approach to measure and enhance on-road performance. Advocate for the use of existing training and evaluation pipelines to ensure scalable, production-ready delivery. Oversee the computational efficiency and real-time performance of trajectory generation algorithms, ensuring compliance with latency budgets. Direct the swift triage and root-cause analysis of critical fleet incidents, translating real-world edge cases into immediate algorithmic enhancements and validation sets. Manage the successful execution of complex, multi-team projects, ensuring technical alignment from design to deployment while upholding a rigorous standard for testing and validation to meet the high safety benchmarks required for our commercial launch. Collaborate with peer leads to provide technical leadership, making crucial decisions regarding architectural direction, strategic investments, tactical execution, and technical debt reduction. Ensure technical excellence through thorough design and code reviews, while actively fostering the professional growth and mentorship of your engineering team. Set and pursue ambitious goals that inspire the team to deliver industry-leading trajectory solutions.

Principal Engineer and Team Lead - Motion Planning Join our innovative Planning team at Motional, where your enthusiasm for robotics and software development will contribute to the advancement of production-ready autonomous vehicles. As the Principal Engineer and Team Lead, you will oversee a talented team dedicated to designing and implementing state-of-the-art motion planning software for autonomous vehicles. This pivotal role requires you to lead the definition of motion planning and control systems that ensure our fleet operates safely, efficiently, and comfortably in complex environments. Your leadership will be instrumental in developing cutting-edge motion planning algorithms, working in collaboration with cross-functional teams (Localization, Perception, Prediction, Controls, ML Products, and Systems Engineering), and mentoring a diverse group of engineers to deliver groundbreaking solutions. If you are driven by a passion for autonomous driving, enjoy tackling challenging real-world problems, and are eager to make a significant impact in a rapidly evolving industry, we would love to hear from you.

Mission Summary:We are looking for a highly skilled and innovative Principal Engineer to take the helm as Tech Lead Manager for our newly established Machine Learning (ML) Acceleration team. This critical position will spearhead the strategy, development, and implementation of initiatives designed to dramatically enhance the training speed of ML models. Our ultimate aim is to significantly shorten the development cycle for new ML models and facilitate rapid hot-patching for challenges encountered in our autonomous vehicle services.As a hands-on leader, you will merge extensive technical knowledge in ML systems and performance optimization with exceptional leadership and management capabilities. You will be responsible for recruiting, mentoring, and nurturing a high-performing team of engineers, while cultivating a culture of innovation, teamwork, and ongoing enhancement.Key Responsibilities:Team Leadership & Management:Establish, direct, and oversee a top-performing team of ML and infrastructure engineers dedicated to acceleration initiatives.Provide technical direction, mentorship, and professional growth opportunities for team members.Encourage a collaborative and inclusive team atmosphere.Set team objectives, priorities, and operational roadmap in alignment with organizational goals.Technical Strategy & Execution:Articulate the technical vision and strategy for ML acceleration throughout the organization.Identify and assess state-of-the-art technologies and methodologies for expediting ML training, including data pipeline optimization, large-scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.Design, develop, and implement scalable and efficient ML acceleration solutions.Cross-functional Collaboration:Work closely with ML research, ML training platforms, and product teams to comprehend their requirements and seamlessly integrate acceleration solutions.Effectively communicate complex technical concepts and strategies to both technical and non-technical audiences.Serve as a technical expert and advocate for ML acceleration projects across the organization.Impact & Measurement:Regularly assess and report on the effectiveness of acceleration initiatives.Continuously pursue opportunities for further optimization and innovation.

Join us in transforming how the Department of Defense (DoD) approaches multi-billion-dollar force design decisions. As a Senior Principal Software Engineer, you will integrate physics-based simulations, dynamic computing, and validated AI code generation to develop state-of-the-art wargaming platforms. We are looking for a proactive leader who can architect and develop a scalable, cloud-distributed simulation environment while motivating a small, dedicated team through hands-on leadership.Your ResponsibilitiesDesign & Implement: Create a robust, interactive physics simulation that operates efficiently across cloud and on-premises clusters.Own the Core Codebase: Manage the modern C++ codebase, focusing on multi-threaded performance optimization and continuous integration practices.Collaborate: Work closely with product and AI teams to incorporate verified, AI-generated algorithms directly into a developer SDK for platform enhancement.Prototype & Iterate: Deliver functional capabilities to government end-users in weeks, not months, through rapid prototyping.Set Engineering Standards: Uphold high coding standards, document processes thoroughly, and mentor team members through code reviews and pair programming.

Join our innovative Behaviors team focused on Prediction and Machine Learning Planning at Motional, where you will collaborate with leading ML engineers dedicated to transforming self-driving vehicles into a reality and making a positive impact on society. Our team develops advanced machine learning models that understand how various agents navigate intricate, real-world traffic environments. These models are pivotal in directing the behavior of our autonomous vehicles while also predicting the actions of other entities like vehicles and vulnerable road users. We are on the lookout for exceptional leaders and technical specialists who are deeply passionate about Level 4 autonomous driving technology. If you thrive on intellectual challenges and seek to advance your career within a rapidly growing organization, we want to hear from you!

Motional is on the lookout for a highly skilled Principal Engineer to join our Planning team. In this pivotal role, you will be responsible for designing innovative motion planning and control systems that ensure the safe, efficient, and comfortable operation of our autonomous fleet in intricate environments. We seek an individual with a strong background in advanced algorithm development and robust software engineering, committed to shaping production-ready autonomous vehicles. If you are passionate about autonomous driving and enjoy tackling real-world challenges in a dynamic field, we welcome your application.Key Responsibilities:Lead the research and development of groundbreaking algorithms and subsystems for motion planning within autonomous driving, enhancing the Operational Design Domain. This encompasses advanced search-based and geometry-driven methods, alongside decision-making under uncertainty, with a focus on probabilistic techniques.Oversee cross-functional initiatives to create or enhance interfaces aimed at solving complex problems.Continuously monitor system performance to pinpoint areas for enhancement and formulate technical strategies to address shortcomings.Guide cross-functional project teams to deliver comprehensive solutions, showcasing the ability to think beyond the planning system's limitations.Architect and integrate sophisticated motion planning and prediction algorithms, leading their assessment and optimization for real-world applications.Design and develop a resilient, scalable, and high-performance codebase that enables rapid exploration, prototyping, and thorough evaluation of new motion planning methodologies and algorithms.Facilitate technical collaboration and ensure seamless integration with upstream perception and prediction components, as well as downstream trajectory optimization, tracking, and control systems, guaranteeing optimal end-to-end system performance.Utilize your extensive software development and research expertise to mentor others in best software practices, fostering a culture of technical excellence.Mentor junior and senior team members, promoting a culture of product-focused engineering, rigorous research, and advanced development.

Mission: We are looking for an exceptional Principal Engineer and Technical Lead to spearhead our extensive AI model and software evaluation framework known as Ground Truth Regression. The ideal candidate will possess a robust background in data engineering and machine learning principles, along with proven leadership experience in creating and deploying sophisticated data analysis and large-scale orchestration frameworks. At Motional, orchestrating large-scale data analysis is essential for the development of our machine learning-driven autonomous vehicles. Our robo-taxi ML models and software are crafted by a diverse team of developers and deployed multiple times daily. The Ground Truth Regression team is responsible for providing a comprehensive perception analysis framework that validates any modifications affecting the behavior of our autonomous vehicles. The GTRegression team assesses the overall impact of ML and software modifications on the autonomous vehicle during the development phase, equipping the team with tools for root cause analysis and safety assessments. We actively monitor for model errors, anomalies, rare objects, and long-tail driving scenarios across thousands of driving hours. Our team is responsible for developing the complete stack, including AWS Kubernetes orchestration frameworks, re-simulation tools, model metrics, regression reports, and in-depth analysis UIs. We collaborate closely with other perception and ML teams to define metrics and analyze outcomes.

Sustainable Talent is collaborating with Nvidia, a pioneering force in computer graphics and accelerated computing for over 25 years. We are seeking a dedicated Test Engineer to join our client's Automotive Vehicles team. This is a full-time, W-2 REMOTE contract position offering competitive compensation ranging from $60/hr to $85/hr, adjusted based on experience, education, and location, along with comprehensive benefits, paid time off, and a vibrant company culture.This role emphasizes system-level testing, simulation analysis, and technical debugging in the realm of autonomous vehicles. You will engage in significant efforts to develop and enhance testing frameworks that will contribute to revolutionary solutions in the transportation sector and the evolving domain of self-driving cars. Collaborating with skilled and passionate multi-disciplinary engineering teams, you will integrate their contributions into our autonomous vehicle software platform while meeting or surpassing NVIDIA and automotive industry standards and guidelines.

Join us at DigitalOcean, where you can unlock your full potential and create the most impactful work of your career. Collaborate with a vibrant community of exceptional professionals who are passionate about simplifying cloud technology. If you are driven by innovation, possess a bold vision, and thrive in a dynamic environment, you’ll find a welcoming place here. We celebrate success together, fostering a culture of learning, enjoyment, and making a meaningful impact for the innovators and creators worldwide.Scope and Mission:Lead the design and operation of the Gradient AI platform, delivering an intuitive and innovative agent development experience that excels in scalability, performance, and reliability.Shape architectural vision, technical excellence, and drive innovation across backend systems and customer-facing interactions.Key Responsibilities:Architect and BuildDesign and enhance the architecture for our agent development experience, encompassing code integration, evaluations, observability, tools, and cross-agent interactions.Initiate and implement an architecture that is optimized for scalability, reliability, low-latency, and cost-efficiency.Oversee and improve our benchmarking system to continuously elevate our development experience.Take a hands-on leadership role in rolling out new services to ensure timely delivery.Technical LeadershipEstablish and uphold technical standards, coding practices, tooling, and infrastructure guidelines across AI/ML engineering teams.Develop best practices for design, testing, deployments, instrumentation, and performance tuning.Mentor and guide senior engineers, fostering a culture of architectural rigor and operational excellence within the team.Cross-functional CollaborationCollaborate with product managers, stakeholders, and business leaders to translate strategic objectives into actionable technical roadmaps.Advise customer-facing teams (e.g., consultants, support, sales engineers) in shaping AI modernization initiatives through agent development.Reliability, Performance & ScalingLead Operations Excellence for our Agent development platform, establishing scalable mechanisms and processes to support the engineering organization.

Join Motional as a Senior Software Engineer focused on enhancing the performance metrics of autonomous vehicles. In this pivotal role, you will leverage your expertise to improve vehicle performance and optimize metrics that ensure safety and efficiency in autonomous driving.

About the RoleJoin Parallel Fluidics as we innovate the infrastructure powering the future of life science tools. As the Principal Mechanical Engineer, you will spearhead our most vital engineering initiatives, establish benchmarks for technical excellence, and influence the processes that guide our product development and manufacturing. We seek an experienced engineering leader with extensive knowledge in electromechanical system design, design for manufacturing, and automation. If you are passionate about making a significant impact by transforming groundbreaking products from concept to production in a fast-paced startup environment, we encourage you to apply.Key ResponsibilitiesEngineering LeadershipAct as the principal architect of the engineering processes at Parallel Fluidics.Lead critical engineering projects that align with our mission.Serve as a technical expert for various internal projects.Identify and implement improvements to our engineering systems and tools.Mentor junior and senior engineers across various disciplines.Provide progress reports and insights to company leadership.Product DevelopmentOversee the transition of Parallel’s next-generation hardware products from concept to scalable production.Identify and evaluate potential high-volume manufacturing partners.Facilitate the transfer of high-volume products from in-house production to third-party manufacturers.Manufacturing SystemsIdentify opportunities to enhance our in-house designed manufacturing equipment.Design experiments and testing methods to optimize manufacturing processes.Collaborate with the manufacturing team to pinpoint gaps and explore improvement opportunities.

As a leader in the industry cloud sector and one of the fastest-growing enterprise SaaS companies, Veeva Systems Inc. aims to empower life sciences organizations to expedite the delivery of critical therapies to patients. We pride ourselves on being a public benefit corporation (PBC), dedicated to balancing the needs of our customers, employees, society, and investors, providing a unique opportunity to develop solutions that have a significant impact on global health.The Role: In the position of Principal Software Engineer at Veeva, you will spearhead the design and development of robust, scalable enterprise applications that enable our clients to function more effectively and securely. Your expertise and leadership will play a vital role in influencing our technology landscape. You will mentor fellow engineers, make pivotal technical decisions, and consistently produce high-quality code that drives our technology forward.Embrace a Work Anywhere Culture: We empower our employees to work from their ideal environments—be it from home or within the office—across Canada and the US, fostering seamless collaboration within your team's time zone.Become a part of Veeva and play an integral role in transforming the life sciences industry, making a meaningful difference in global health.

Join us in transforming how the Department of Defense approaches multi-billion-dollar force design decisions. In this pivotal role, you will integrate physics-driven simulations, interactive computing, and verified AI code-generation to develop cutting-edge wargaming platforms. We are looking for a seasoned software engineer who can take ownership of critical components within a scalable, cloud-distributed simulation environment, while inspiring and leading a dedicated team.Your Responsibilities Create and implement a robust, interactive physics simulation that operates flawlessly across cloud and on-premises clusters. Manage core functionalities in modern C++, focusing on multi-threaded performance tuning and continuous integration. Collaborate with product and AI teams to integrate verified AI-generated algorithms into a developer SDK that enhances the platform. Rapid prototyping and iteration: deliver functional capabilities to government end-users in weeks, not months. Set high engineering standards: produce clean code, maintain rigorous documentation, and mentor team members through code reviews and pair programming. Why Choose Code Metal? Impactful Mission: Your contributions will shape digital battlefield models that directly affect real-world acquisition strategies. Agility: Work within small teams, experience rapid iteration cycles, and have the authority to deliver solutions. Ownership: Everyone is a contributor—no passengers, everyone pushes code to production.

Mission: We are in search of a talented and driven Senior Data Engineering Analyst to join our innovative team focused on large-scale AI model evaluation through our platform, Ground Truth Regression. The ideal candidate will possess a solid foundation in data engineering, machine learning principles, and statistical analysis. At Motional, the orchestration of extensive data analysis is crucial for advancing our machine learning-driven autonomous driving technology. Our robo-taxi ML models and software are developed by a dedicated team of engineers and deployed multiple times daily. The Ground Truth Regression team is responsible for providing a comprehensive perception analysis framework to validate any changes that could influence the behavior of autonomous vehicles. The Ground Truth Regression team assesses the cumulative effects of ML and software modifications during the development phase, equipping the team with tools for root cause analysis and safety evaluations. We meticulously monitor model errors, anomalies, and rare occurrences across extensive driving scenarios, gathering insights over thousands of driving hours. The team is responsible for developing the full-stack infrastructure, including AWS Kubernetes orchestration, re-simulation, model metrics, regression reports, and deep-dive analytical tools. Collaboration with other perception and ML teams is integral for establishing metrics and analyzing outcomes. What You’ll Do: Collaborate with ML Engineers and Autonomy Software Developers to create new data analysis metrics and KPIs for validating autonomous vehicle performance. Pursue innovation by researching and developing new large-scale data analysis frameworks. Lead large-scale data analysis workflows to identify unexpected impacts of both planned and unplanned modifications to ML models and software. Construct high-quality datasets to enhance ML product performance through training and edge case validation. Deliver in-depth statistical insights on model performance and generalization through thorough error and change analysis. What We’re Looking For: Bachelor's or Master’s degree in Computer Science, Data Science, or a related field. Proficient programming skills in Python, SciPy, and related data analysis frameworks. Experience in machine learning, data mining, and statistical analysis. Familiarity with large-scale data processing and distributed computing technologies. Strong communication and software development skills, including goal setting, design documentation, testing frameworks, and collaborative team development.

About SimpliSafe At SimpliSafe, we are at the forefront of high-tech home security, driven by our mission to safeguard every home. We have cultivated a culture that not only cherishes the safety of our clients but also values the career development of our team members. In our no-ego environment, collaboration and innovation thrive, creating ample opportunities for those ready to face new challenges and make a significant impact on the lives we protect. We don’t just want you to work here; we want you to flourish. Our hybrid work model allows our teams to balance office and home working seamlessly. Expect to collaborate in our state-of-the-art Boston office on two core days—typically Tuesday, Wednesday, or Thursday—while enjoying the flexibility to choose your workspace for the remaining days. This approach allows us to harness the benefits of both environments to optimize productivity. Why We Are Hiring We are expanding our Tools and Automation organization, specifically within the Test Platform Services (TPS) team. TPS is responsible for building and managing the platforms and automation that validate the comprehensive SimpliSafe ecosystem, which includes connected cameras, sensors, base stations, firmware, cloud services, monitoring workflows, and mobile applications. Our goal is to enable scalable, production-like validation across hardware, firmware, and distributed software systems. This ensures our devices perform accurately in real-world conditions and that essential customer journeys operate reliably before they are deployed to production. We are on the lookout for a Software Engineer who can lead the technical vision for TPS while managing a team of engineers. This position merges hands-on architectural responsibilities with leadership and mentorship, offering a unique opportunity for those looking to make a significant impact. This role is highly collaborative, requiring close partnerships with Infrastructure, Backend, Firmware, and Monitoring teams to ensure our validation platforms evolve in line with product and system complexity. It’s perfect for a leader who wishes to stay technically involved while shaping a high-performing engineering team dedicated to validating complex, distributed systems at scale. Your Responsibilities Establish and implement the long-term architectural vision for scalable validation platforms, with a focus on automation, performance, and resilience testing capabilities. Collaborate cross-functionally with Infrastructure, Backend, Firmware, Monitoring, and Product teams to ensure alignment of validation systems with product architecture, roadmaps, and business objectives. Guarantee that virtual devices and simulation systems accurately represent real-world hardware behavior, minimizing discrepancies between physical and virtual environments.

Join Nagarro as a Principal Engineer - Project Manager specializing in Salesforce, where you'll lead innovative engineering projects and manage cross-functional teams to deliver exceptional solutions. Your role will involve strategic planning, resource allocation, and continuous improvement initiatives, ensuring alignment with client objectives and industry standards.

Join Cellular Intelligence as a Senior/Principal Machine Learning Researcher!At Cellular Intelligence, formerly known as Somite AI, we strive to revolutionize stem cell biology by creating AI foundational models that facilitate the development of innovative cell therapies on a large scale.Our comprehensive approach allows us to generate data at a cost efficiency of 1,000 times lower than traditional methods, while training large-scale models that possess unparalleled predictive capabilities. These models are pivotal in discovering, refining, and optimizing impactful applications in cell therapy.Our founding team boasts a wealth of experience, including AI entrepreneur Dr. Micha Breakstone, who successfully led Chorus.ai to a $575M acquisition, the Head of MIT's Fundamental AI Group, and a cadre of professors from Harvard Medical School and the University of Washington, comprising members of the National Academy of Sciences and Medicine. Based in Boston, we are excited to commence operations in January 2024 and have secured nearly $60 million in funding to date.

Join DigitalOcean and embark on a fulfilling career journey alongside a vibrant community of exceptional talent. Here, we are committed to creating the most straightforward scalable cloud solutions. If you possess a growth mindset, think innovatively, and thrive in a fast-paced environment typical of industry disruptors, you will find your ideal workplace with us. We prioritize collaboration and celebrate our successes together while learning, having fun, and making a significant impact on dreamers and builders worldwide.We are seeking a Principal Engineer to lead the technical direction and architecture of our Platform-as-a-Service (PaaS) offerings. Our goal is to simplify the deployment, scaling, and management of applications for developers everywhere—from their first deployment to massive internet-scale applications.As a Principal Engineer on the PaaS team, you will be instrumental in designing and constructing next-gen cloud-native services, including App Platform, Functions, and CI/CD pipelines. You will architect systems that support our global infrastructure, collaborate closely with engineering and product teams throughout the organization, and mentor engineers to elevate our technical capabilities. This is a rare opportunity to influence how developers create and deploy software on a platform designed for simplicity and scalability.We are looking for an individual who can navigate both technical strategy and hands-on execution—someone who excels at resolving complex distributed challenges and amplifying the contributions of those around them.