Staff Software Developer - Enterprise AI

Rubrik, Inc. is hiring a Staff Software Developer focused on Enterprise AI at its Palo Alto, CA office. This position centers on designing and building advanced AI solutions for business operations and customer-facing products. Role overview This role involves developing AI-driven tools and systems that improve efficiency and support customer needs. The work directly influences the direction and impact of Rubrik’s AI initiatives. Key responsibilities Lead the creation and implementation of enterprise-scale AI solutions Collaborate with teams to identify opportunities for AI-driven improvements Contribute technical expertise to shape Rubrik’s future AI capabilities Location This role is based in Palo Alto, CA.

Rubrik, Inc. is hiring a Staff Software Developer to help shape the future of enterprise AI and cloud data management. This position is based in Palo Alto, CA. Role overview This role centers on designing and building advanced AI solutions for enterprise data management. The work supports Rubrik’s mission to improve how organizations handle and protect their data at scale. What you will do Develop and refine AI-driven systems that address complex data management challenges for large organizations Collaborate with a skilled team focused on creative problem-solving and high standards Contribute ideas and technical expertise to drive new product features and innovation Team culture The team values creativity, collaboration, and a commitment to excellence. Staff Software Developers play a key role in shaping both technology and team practices.

Rubrik is seeking a Staff Program Manager for Enterprise AI to help shape the future of cloud data management. This position centers on leading initiatives that apply artificial intelligence to improve Rubrik's products for enterprise customers. Role overview The Staff Program Manager will coordinate efforts across engineering, product, and business teams. The role involves setting clear project scopes, managing timelines, and ensuring that AI-driven solutions align with client needs. Success in this position depends on strong leadership and the ability to guide teams through complex challenges. Key responsibilities Define and manage project scopes for enterprise AI initiatives Oversee timely delivery of high-impact projects Collaborate with cross-functional stakeholders to drive innovation Lead teams in solving complex problems related to data management Collaboration and impact This role works closely with engineering, product, and business partners to deliver solutions that help businesses manage their data more effectively. The Staff Program Manager's decisions and leadership will play a key part in Rubrik's ongoing innovation for enterprise clients.

Location: San Francisco Bay Area (Palo Alto or San Francisco preferred) or Seattle, WA.Working Model: Hybrid (in-office presence required).About the RoleWe are on the lookout for a Senior Staff Enterprise Architect, Data to spearhead the strategy, design, and modernization of our enterprise data landscape. This pivotal role sits at the crossroads of data architecture, engineering, and AI enablement, crafting solutions to seamlessly integrate our Data Lake and Data Warehouse across multi-cloud platforms.In the next 12-18 months, you will empower business users with self-service data access and natural language query capabilities. Your responsibilities will also include architecting Master Data Management and data lineage frameworks, ensuring that AI models function on high-quality, governed data. Additionally, you will assess and implement AI-driven tools to automate data quality monitoring and bolster data security.Key ResponsibilitiesData Strategy & RoadmapDesign a semantic layer architecture that standardizes business metrics across the enterprise, while defining governance guardrails to ensure that natural language queries access validated master data sources.Develop a Master Data strategy for Customer and Product domains (phases 1-2), with Finance and People to follow. Establish golden record requirements, stewardship models, and a system-of-record hierarchy. Collaborate with business stakeholders on master data governance.Define a cross-cloud data integration strategy and reference architecture, specifying patterns (federation, replication, abstraction layer) that balance performance, cost, and data freshness. Document trade-offs and recommend implementations for both batch and near-real-time use cases.Create 12-24 month data architecture roadmaps for Finance, Sales, Product, and People, identifying capability gaps and recommending technology investments along with business value and effort estimates.Systems Design & Solution LeadershipEvaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration patterns.Define data ingestion architecture that reduces availability from weeks to 3-5 days (batch) and under 15 minutes (real-time), specifying ELT patterns using CDC where feasible. Document source system constraints and collaborate with engineering on phased implementation.Establish build vs. buy frameworks for Data Platform, ETL, Data Quality, and Master Data tooling. Define POC criteria and scoring models. Oversee POC execution and present recommendations with TCO analysis to the architecture team.

Mithril is building AI infrastructure to make GPU computing accessible for enterprises, AI startups, and research organizations. The company’s customers include LG AI Research, Saronic, and the Broad Institute. Mithril was founded by a former Google DeepMind research scientist and a Stanford CS PhD, and has raised $80 million in seed and Series A funding from Sequoia Capital, Lightspeed Venture Partners, and others. Platform revenue has grown more than sixfold in the past year. Fast Company recognized Mithril as the 8th Most Innovative Company in Artificial Intelligence for 2026. The team is transitioning from bare-metal operations to a cloud-native, multi-provider platform, introducing an auction and flexibility model. This is an opportunity to help shape the platform from its early stages. Role overview The Software Engineer - Technical Staff Member will work across three main areas: Consumption: Developer-facing product, billing, and API Platform: Orchestration and marketplace solutions Supply: Cloud provider integrations and capacity management Engineers at Mithril take on significant ownership, building features end-to-end that support critical customer workloads and drive revenue. The scope includes backend systems, marketplace logic, and customer interfaces. Architectural decisions here have a direct impact on Mithril’s growth and scalability. What makes this role unique This position blends deep systems work with product-facing challenges. Engineers contribute to the orchestration engine that manages GPU capacity across providers, as well as the interfaces customers use to reserve, bid, and utilize resources. The systems built in this role handle financial transactions, real workloads, and market mechanisms such as spot auctions, reservation pricing, and capacity allocation. For those interested in the mechanics of GPU infrastructure markets and building the technology behind them, this role offers direct involvement. Location This role is based in Palo Alto or the San Francisco Bay Area.

About Nightfall:Nightfall AI is a pioneering, AI-driven platform specializing in unified data loss prevention and insider risk management. We safeguard sensitive information across a variety of channels including SaaS applications, GenAI tools, email, and endpoint devices. Our esteemed clientele, ranging from groundbreaking AI companies to some of the world’s top banks, relies on Nightfall to effectively detect and prevent data exfiltration at scale. Our innovative platform empowers organizations to pursue their goals without the looming threat of losing intellectual property or compromising customer data. By automating data loss prevention processes, we enable security teams to focus on strategic initiatives while ensuring that security violations are addressed proactively through automatic remediation and real-time user training.Supported by top-tier investors including Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, along with distinguished cybersecurity leaders such as Frederic Kerrest and Maynard Webb, Nightfall is positioned at the forefront of data security innovation.About the Role:As an Enterprise Customer Success Manager at Nightfall AI, you will take ownership of strategic relationships with our most significant customers, ensuring they derive tangible, measurable value from our AI-native data security platform. You will serve as a trusted advisor to leaders in security, compliance, and engineering, guiding them from the onboarding phase through to renewal and expansion efforts.This position is perfect for someone who excels in complex enterprise settings, possesses the ability to translate technical features into impactful business outcomes, and is eager to shape the future of Customer Success in a rapidly growing security company.What You'll Do:Oversee the entire customer journey, from onboarding and adoption to value realization, renewals, and expansions.Manage a portfolio of enterprise clients, focusing on adoption, retention, renewals, and growth.Lead the onboarding process and ensure early lifecycle success, establishing strong deployment, stakeholder engagement, and rapid time-to-value.Set and monitor customer success benchmarks (adoption milestones, risk mitigation, operational results) and provide regular updates on progress.Convert product usage data and outcomes into clear business value and ROI for clients.

Join our innovative team at Mashgin, where we are transforming the landscape of AI technology! As an AI Developer, you will work on cutting-edge projects that leverage artificial intelligence to enhance user experiences and improve operational efficiencies. We are looking for talented individuals who are passionate about AI and eager to contribute to our mission of making technology more accessible and intuitive.

Join MongoDB as a Senior Staff Enterprise Architect specializing in Quote-to-Cash (Q2C) and Monetization. In this pivotal role, you will spearhead the strategy, technical design, and modernization of our Quote-to-Revenue processes, impacting our operations and enabling growth. This hybrid position requires a visionary leader who not only defines the overarching architecture strategy but also engages in hands-on technical design. You will collaborate closely with delivery teams to streamline implementations, enhancing our monetization platforms and fostering scalability for MongoDB 3.0 by reducing manual efforts and promoting continuous improvement tools. Your expertise in Q2C and financial transformation will be crucial as you navigate the complex decisions surrounding the 'buy vs. build' landscape of billing engines, focusing on usage-based and consumption models. You will ensure that our architecture catalyzes AI-driven business transformations. We are excited to connect with candidates local to Palo Alto, embracing our hybrid work model.

About Us At vinci4d, we are revolutionizing the hardware design landscape with our cutting-edge AI assistant, aimed at empowering engineers to accelerate their design iterations by a staggering 1000 times.Our innovative foundation model, driven by geometry and physics, is tailored for each category of part design.We are on the lookout for passionate individuals who thrive on product development to enhance our Minimum Viable Product (MVP).Your ResponsibilitiesAs a pivotal member of our team, you will design and develop the essential pipelines and tools that transform our vision into reality. Your contributions will significantly expedite our development processes by facilitating smooth transitions from code development to deployment. Key responsibilities include:Enhancing product features for scalability and developing advanced APIs to support intricate engineering workflows.Establishing and integrating LLM or VLM infrastructure.Implementing an MLOps framework for training deep learning models using geometry and physics data.Collaborating with early customers and design partners to strategize and prioritize the development roadmap.Building and deploying critical product features.Gaining invaluable experience while creating products that resonate with engineers, and learning about the entrepreneurial journey.QualificationsA minimum of 6 years in developing and delivering features within the high-performance computing domain.Expertise in C++, Python, or any relevant language necessary for system setup, along with familiarity with tools such as gRPC, Protocol Buffers, Docker, Kubernetes, and Bazel.Experience with cloud computing for data generation, scraping, and assisting data science teams in model training with MLOps is a plus.CUDA experience is desirable but not mandatory.Frontend development experience is a bonus.Prior experience in a startup environment will be highly valued.You’ll Thrive in This Role If YouAre enthusiastic about entrepreneurship and the process of transforming ideas from concept to reality.

About xAIAt xAI, our vision is to develop AI systems that deeply comprehend the universe and assist humanity in its quest for understanding. Our team is a close-knit, highly driven group committed to engineering excellence. We welcome individuals who relish challenges and thrive on curiosity. Operating within a flat organizational structure, we expect all employees to be hands-on contributors to our mission. Proactive leadership is recognized, and a strong work ethic combined with exceptional prioritization skills is essential. Effective communication is crucial, as employees must be able to share knowledge clearly and precisely with colleagues.ROLE OVERVIEW:Join our Grok Voice Model team to engineer the leading voice AI technology. We aim to facilitate seamless, natural, low-latency spoken interactions that are expressive, multilingual, and reliable across devices and real-time applications. We manage the entire training pipeline, encompassing extensive data curation, high-quality audio processing, cutting-edge speech-language pre-training, and rigorous post-training to maximize quality, speed, and stability.Our aspiration is to make conversing with AI feel like engaging with the most charming, knowledgeable, and kind individual imaginable. We are in search of exceptionally intelligent, execution-focused engineers to help us achieve this goal.

Lead Staff Software EngineerLocation: Hybrid - Palo Alto Office (Tuesdays and Thursdays)Your ImpactJoin our team at MidiHealth as a Lead Staff Software Engineer, where you will play a crucial role in shaping the future of women's healthcare technology. You will be a core technical leader within our engineering organization, translating intricate concepts into actionable technical roadmaps and innovative products that drive our mission forward.Your ResponsibilitiesEvaluate complex technical challenges and spearhead architectural assessments across teams, mitigating technical debt and fostering sustainable, cross-service patterns within Midi’s healthcare ecosystem.Serve as a 'part-time product manager for technology,' championing essential infrastructure enhancements to boost business agility.Design and implement high-quality, scalable products and code, ensuring a balance between swift execution and long-term scalability.Contribute actively to our engineering culture by establishing best practices for automated testing, CI/CD, and maintaining high code quality throughout our technology stack.Assess overarching technical and business challenges, crafting elegant solutions that support both scalability and business growth.Collaborate closely with Executive Leadership, Product, Marketing, and Clinical teams to uncover unmet customer and operational needs, translating these insights into effective technical strategies that enhance outcomes for our patients and clinicians.Mentor and guide both senior and junior engineers, nurturing a culture of curiosity, humility, and technical excellence.

Role Overview Pinterest is looking for a Senior Staff Software Engineer to join the Merchants team. This role focuses on building and improving features that support merchants and enhance the overall platform experience. What You Will Do Work closely with teams across engineering, product, and design to gather requirements and set technical direction. Design and implement scalable systems that support merchant needs and user engagement. Develop software solutions that help merchants connect with Pinterest users and grow their businesses. Contribute to the platform’s mission of inspiring creativity and discovery worldwide. Location This position is based in San Francisco, CA or Palo Alto, CA.

Our MissionAt Fiddler, we recognize the profound implications of AI on human life. Our mission is to instill trust in AI technologies. As Generative AI and Agents advance, they present new challenges and risks, making it essential to ensure that AI applications operate effectively. Fiddler empowers organizations to proactively address these challenges by deploying trustworthy and transparent AI solutions.We collaborate with AI-driven companies to establish a sustainable framework for responsible AI practices, thus fostering user trust. AI Engineers, Data Scientists, and business teams leverage Fiddler AI to monitor, assess, secure, analyze, and enhance their AI solutions for superior outcomes. Our platform helps both engineering and business teams comprehend the 'what', 'why', and 'how' behind AI results.About Our FoundersFiddler AI was co-founded by Krishna Gade, a seasoned engineering leader with experience at Facebook, Pinterest, Twitter, and Microsoft, alongside Amit Paka, a product leader with a background at Microsoft, Samsung, PayPal, and a two-time founder. We have the backing of prominent investors including Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why You Should Join UsWe are driven by the goal of embedding trust in AI, enabling society to harness its potential. By joining our team, you will play a key role in ensuring that production-scale AI applications across various sectors maintain operational transparency and security. As an early-stage startup, we are rapidly expanding and are made up of intelligent, empathetic individuals—doers, thinkers, creators, and builders. The AI and ML industry is evolving quickly, offering immense learning opportunities. Seize the chance to be a pioneer in this field.Fiddler is recognized as a leader in AI Observability, having been featured on numerous prestigious lists including the 2022 a16z Data50, the 2021 CB Insights AI 100 most promising startups, the 2020 WEF Technology Pioneer, the 2020 Forbes AI 50, and the 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our exceptional team, you will contribute to shaping the future of AI Observability.Your RoleBecome part of a world-class team innovating in the rapidly expanding LLM and ML infrastructure domain.Engage actively in customer discovery, adopting a hands-on approach to enhance our offerings.

Hippocratic AI builds generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models, known as the Polaris constellation, drive this platform and have achieved an accuracy rate above 99.9%. As a Senior Staff AI Engineer based in Palo Alto, this role centers on advancing healthcare through a safety-first approach. The team is working to launch the first healthcare-specific, safety-centric large language model, with the goal of improving patient outcomes worldwide. Collaboration and Team The team includes experienced physicians, hospital executives, AI researchers, and innovators from leading institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Co-founder and CEO Munjal Shah leads a group committed to scientific progress and reliable technology in healthcare AI. Funding and Support Hippocratic AI is backed by a strong group of healthcare and AI investors. The company recently closed a $126M Series C funding round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Location Requirement This position requires working onsite at the Palo Alto office five days a week. The company values in-person collaboration to strengthen team culture and accelerate innovation.

Hippocratic AI develops generative AI technology designed for healthcare, focusing on safe and autonomous clinical conversations between patients and providers. Their proprietary large language models, built within the Polaris constellation, have reached an accuracy rate above 99.9%. The company is mission-driven, working to create the first healthcare-specific, safety-focused LLM with the goal of improving patient outcomes around the world. Leadership includes physicians, hospital executives, AI researchers, and technologists from organizations such as El Camino Health, Johns Hopkins, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is well-funded, having recently completed a $126M Series C round at a $3.5B valuation, with total funding now at $404M from investors including Avenir Growth, CapitalG, General Catalyst, a16z, and others. Collaboration is central to the company’s culture. Team members work closely with leaders in healthcare and AI, advancing both clinical care and technology. Location and On-site Requirement This Senior Staff AI Engineer position is based in Palo Alto. The role requires on-site presence five days a week to support close collaboration and maintain a strong team culture, unless otherwise specified. Role Overview The Senior Staff AI Engineer leads technical strategy for voice-driven generative AI in healthcare. This role designs and builds core platforms that enable clinically safe healthcare agents, integrating large language models, real-time voice systems, and human-centered product design. As one of the most senior individual contributors, this engineer drives initiatives in retrieval-augmented generation (RAG), agent orchestration, evaluation, real-time voice technology, and safety. Key Responsibilities Partner with the executive team, AI researchers, product managers, and clinical experts to define and execute technical vision Design and build core platforms for healthcare AI agents, focusing on safety and clinical accuracy Mentor Staff and Senior engineers, guiding architectural decisions for future platform generations Represent Hippocratic AI in research and healthcare forums, contributing to the evolution of healthcare AI The work in this role directly influences patient care and the development of safe, effective AI solutions in healthcare.

Our VisionAt Fiddler AI, we recognize the profound implications of artificial intelligence on human lives. Our mission is to instill trust in AI systems. As Generative AI and intelligent agents evolve, they introduce generalized intelligence, but also increase the challenges in ensuring that AI applications function effectively. We empower organizations to proactively address these challenges by delivering reliable and transparent AI solutions.We collaborate with AI-driven organizations to establish sustainable frameworks for responsible AI practices, ultimately fostering trust among their users. Our platform is utilized by AI engineers, data scientists, and business teams to monitor, assess, secure, analyze, and enhance their AI solutions for improved outcomes. This enables both engineering teams and business stakeholders to comprehend the “what,” “why,” and “how” of AI results.Our FoundersFounded by Krishna Gade, an engineering leader with experience at Facebook, Pinterest, Twitter, and Microsoft, and Amit Paka, a product leader with a background at Microsoft, Samsung, and PayPal, Fiddler AI is backed by esteemed investors including Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why Join Our Team?Joining Fiddler means becoming part of a mission-driven team dedicated to building trust in AI, enabling society to harness its potential. You will have the opportunity to make a significant impact by ensuring that AI applications, at scale across various industries, maintain operational transparency and security. As an early-stage startup, we offer a dynamic environment filled with intelligent, empathetic individuals who are doers, thinkers, creators, and builders. The fast-paced AI and ML industry presents tremendous learning opportunities and a chance for you to be at the forefront of innovation.Fiddler is recognized as a leader in AI Observability, garnering numerous accolades including being listed in the 2022 a16z Data50, the 2021 CB Insights AI 100 most promising startups, and receiving the 2020 WEF Technology Pioneer designation, among others. By joining our talented team, you will play a pivotal role in shaping the future of AI Observability.‍ The Mission:Our AI engineers significantly influence the safety and return on investment of large language models and intelligent applications across diverse sectors. You will be at the cutting edge, conceptualizing and developing innovative tools and algorithms.

The Application Modernization Platform (AMP) team is addressing one of the industry's most significant challenges: harnessing Generative AI to modernize rigid, legacy applications into agile, microservices-based architectures utilizing MongoDB. We are developing a comprehensive SaaS-like platform that integrates both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution demands a solid platform foundation and infrastructure tailored for a "build once, run anywhere" model, guaranteeing seamless operation regardless of client-specific security or network requirements. A crucial challenge lies in fine-tuning our tools for each customer's distinct tech stack and restrictive environments while ensuring they remain easily extensible and scalable for common application modernization challenges. We are in search of an engineering leader for this high-visibility initiative. This role involves defining the overarching strategy and technical direction across all AMP engineering pillars, spearheading the resolution of uniquely intricate application modernization challenges, and delivering a product of enterprise-grade quality. The leader will work to minimize deployment friction, meet compliance requirements, and contribute to the evolution of how global enterprises harness GenAI. The ideal candidate is a hands-on technical leader who excels in leveraging GenAI capabilities, architecting complex distributed systems, and designing orchestration agents that ensure the reliable and fluid execution of the entire software development lifecycle. We are particularly interested in candidates based in Palo Alto for our hybrid working model.

Join MongoDB as a highly qualified Staff Product Manager specializing in Internal AI, where you will lead the strategy, implementation, and widespread adoption of AI-driven solutions throughout our enterprise IT framework. This influential role will be essential in revolutionizing how AI enhances our internal processes, including service delivery, knowledge management, automation, and decision-making support. The successful candidate will possess substantial experience in managing enterprise-level AI/ML products, engaging effectively across IT and business sectors, and achieving significant measurable outcomes.This position is designed for candidates located in San Francisco, CA, or Palo Alto, CA, fitting within our hybrid work model.

About NubankNubank is a leading digital financial platform, serving over 127 million customers across Brazil, Mexico, and Colombia. Our mission is to simplify financial services and empower individuals, heralding a transformative purple future in Latin America.As a publicly traded company on the New York Stock Exchange (NYSE: NU), we leverage proprietary technology and data intelligence to deliver financial products that are accessible and user-friendly.Our innovation has been recognized globally, featuring in esteemed rankings like Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Explore more about joining our team on our Careers page!About the RoleAt Nubank, AI is central to our strategy for growth and innovation. We are evolving into an AI-native company where intelligent systems not only enhance our products but fundamentally shape them. As the Lead Software Engineer for AI Agents & Orchestration, you will play a pivotal role in this transition.Your responsibilities will include steering the technical strategy for the integration of Generative AI and Large Language Models (LLMs), impacting the experience of over 130 million customers. This position emphasizes building production-grade workflows and RAG pipelines that operate efficiently across various markets. You will utilize our specialized GenAI Platform, which encompasses inference services, evaluation frameworks, and orchestration layers, to transition from experimental phases to substantial global impact at 'Nu-speed'.Why This Role Stands OutAgency & Transformation: You are not just another team member; you are a key architect of the AI Native Bank.Impact at Scale: Your contributions will empower a diverse population exceeding that of many countries.The AI Multiplier: You will engage in a structured framework that acknowledges and rewards the innovative advancements you drive through AI.ResponsibilitiesLead AI Architecture: Define the technical vision for AI-native applications, ensuring that our LLM integrations are scalable, cost-effective, and dependable.Develop Agentic Workflows: Create and implement sophisticated agentic systems and RAG patterns that offer hyper-personalized financial experiences.Pursue Engineering Excellence: Establish the standard for AI development at Nubank, promoting reusable components.Collaborate Across Teams: Work alongside Product, Design, and other departments to ensure seamless integration of AI technologies.

Rivian and Volkswagen Group Technologies brings together two major automotive innovators focused on advancing mobility. The partnership works on a range of technology solutions, including operating systems, zonal controllers, and cloud connectivity. The goal is to address the unique challenges of electric vehicles and set new standards for software-defined vehicles worldwide. With expertise in connectivity, artificial intelligence, and security, the team aims to create smarter, more connected, and sustainable mobility solutions. Role overview The Vehicle Data Services team seeks a Lead Staff Software Engineer to help drive the Cloud Data Platform. This position centers on building scalable and reliable Data Services that move data between backend systems and vehicles. The work involves supporting high-throughput telemetry, managing both streaming and batch data, maintaining a data model registry, and coordinating fleet-wide push updates. What you will do Design, develop, and maintain high-performance, low-latency distributed systems for vehicle data services Support telemetry systems that handle streaming and batch data Oversee the data model registry and manage fleet push updates Shape the interaction between Cloud and Mobile services with vehicles and other cloud systems Collaborate with cross-functional teams to solve complex technical challenges Contribute to the architecture and software for next-generation Software Defined Vehicles (SDVs) Requirements Experience designing and developing distributed systems Ability to work on high-throughput data platforms and telemetry systems Strong collaboration skills for working with cross-functional teams Background in supporting cloud and mobile service integration with vehicles