Senior Solution Sales Advisor Jobs

Senior Systems Software Engineer - Advanced Technology Group — US, OR, Hillsboro. Apply via Workday.

Senior Technical Adoption Specialist - Construction — Munich, DEU. Apply via Workday.

Senior Integrated Product Team Lead - Spacecraft Integration & Test — USA - El Segundo, CA. Apply via Workday.

Senior Integration Engineer — Minnesota, United States of America. Apply via Workday.

Senior Test & Evaluation Lab Tech (Metrology & Calibration) — USA - Fort Greely, AK. Apply via Workday.

Senior Network Reliability Engineer - DGX Cloud — 2 Locations. Apply via Workday.

Senior Network Engineer - DGX Cloud — 2 Locations. Apply via Workday.

Senior Compute Platform Engineer, LSF — 2 Locations. Apply via Workday.

Senior Software Engineer, At Scale Compute Analysis — 5 Locations. Apply via Workday.

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About the team: The Security Governance, Risk, and Compliance (GRC) team is part of Plaid’s security organization, focused on enabling the business by proactively managing information security risks and maintaining effective controls. Our mission is to reduce the likelihood and impact of security risks while operating a robust assurance program that builds trust with our customers, consumers, and data partners.We partner closely across the company to ensure Plaid’s platform remains secure, resilient, and aligned with industry and regulatory expectations.Security risk management is how Plaid makes informed security trade-offs—we identify and analyze the risks that could materially affect the business, make sure the right owners decide what to do about them, and turn that picture into reporting leadership and the board can act on. About the role: You will run security risk assessments end-to-end within Plaid’s security risk management program—intake, scenario-based analysis, treatment decisions, and monitoring across security, infrastructure, and product risk. You will work with engineering SMEs and risk owners on risks ranging from over-privileged access and supply-chain gaps to pr

The Zoox 3D Sensor Simulation team’s work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras. This role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction. By improving the realism of simulated sensors (lidar, radar, and cameras), you’ll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans. In this role, you will: Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle (AV) simulation pipelines. Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D reconstruction with simulation of all sensor modalities. Build and curate training datasets from real and simulated sensor data, including GenAI-based data augmentation. Partner with Sim V&V and Perception engineers to define sensor realism metrics and close the sim-to-real gaps with the greatest impact on autonomy. Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data. Qualifications: 2+ years of prior experience as a Technical Lead 5+ years of experience developing ML models in Python with PyTorch or TensorFlow <

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The Controls team at Nuro is responsible for safely and smoothly executing Autonomy generated plans, across vehicle platforms and ODDs. We are looking for an experienced Controls Engineer to join us in this impactful role, where you will collaborate with best-in-class engineers to tackle challenging problems and help advance the future of robotics to improve everyday lives. About the Work Develop robust, production-grade control software following safety standards (ISO 26262). Collaborate closely with OEM engineers and other Nuro teams to define vehicle and controls SW requirements for integrating Nuro Driver™ into new vehicle platforms. Adapt Controls software stack to new vehicle platforms. Conduct hands-on vehicle bring up, controls tuning, testing, and debugging for achieving vehicle performance, quality and drivability targets. About You MS in mechanical, mechatronics, electrical, aerospace, robotics, or closely relat

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The Controls team at Nuro is responsible for safely and smoothly executing Autonomy generated plans, across vehicle platforms and ODDs. We are looking for an experienced Controls Engineer to join us in this impactful role, where you will collaborate with best-in-class engineers to tackle challenging problems and help advance the future of robotics to improve everyday lives. About the Work Develop robust, production-grade control software following safety standards (ISO 26262). Collaborate closely with OEM engineers and other Nuro teams to define vehicle and controls SW requirements for integrating Nuro Driver™ into new vehicle platforms. Adapt Controls software stack to new vehicle platforms. Conduct hands-on vehicle bring up, controls tuning, testing, and debugging for achieving vehicle performance, quality and drivability targets. About You MS in mechanical, mechatronics, electrical, aerospace, robotics, or closely relat

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our robotics team is growing and we are looking for a Senior Software Engineer to join our Pose team. You will be working on challenging problems in the design and implementation of the pose estimation system running on our current and future robots. We're searching for an experienced engineer with deep experience building robust pose estimation systems that work with real data in uncertain environments, and a strong desire to contribute to the future of robot navigation for logistics and transportation. About the Work Deliver high-quality, real-time vehicle pose estimation software that power the next generation of mobile robots. Research, develop, and deploy state of the art, safe and reliable (fail-operational) vehicle pose estimation algorithms. Analyze and characterize the accuracy and performance of pose estimation algorithms on a variety of platforms. Build well-tested C/C++ software and deploy and test on our robot

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. We are looking for a Senior Technical Recruiter to join our Talent Acquisition Team. This is a hybrid role based out of our Santa Clara, CA HQ (on-site Tuesday–Thursday), reporting to the Head of Technical Recruiting. In this role, you will execute full-cycle recruiting—identifying, engaging, and hiring top technical talent at Zscaler. By aligning with immediate team priorities and following established selection processes, you will ensure we build strong teams through inclusive and thoughtful execution. What You’ll Do (Role Expectations) Execute full-cycle recruiting for technical roles, ensuring an exceptionally positive candidate experience at every touchpoint Collaborate with hiring managers and leaders to assist in the design and delivery of tailored recruitment strategies that align with immediate team priorities Support hiring teams with minimal supervision from recruitment kickoff meetings through offer formulation,