Cavnue

Senior Integration Engineer

Senior Integration Engineer - Algorithms

As a Senior Integration Engineer at Cavnue, you will be designing, building, and maintaining robust services and integration solutions using real-time data processing and state estimation. This fully remote role involves collaborating with cross-functional teams to develop and deploy systems where accurate estimation and prediction based on classical methods are critical. You will be working on building the foundational systems that power intelligent applications through sophisticated data interpretation, integrating sensor data, developing APIs, and ensuring high-quality code. You will also be contributing to a positive engineering culture.

We believe the future of our nation’s roadways is automated, safer, more accessible and enables more efficient movement of people and goods. While billions have been invested into developing vehicle technologies – including advanced driver assistance systems (“ADAS”) and autonomous driving solutions – a small fraction has been spent on developing infrastructure to support and enhance roadways. At Cavnue, we are developing and integrating technologies that will power the world’s most technologically advanced roadways (“cavnues”). Our approach is founded in creating a digital model of the roadway that analyzes and optimizes road conditions in real-time, sharing actionable alerts and providing proactive guidance to vehicles and drivers. Join us in innovating the roads of the future. Cavnue, which in April 2022 announced the closing of its Series A at $130M, is bridging vehicle technology and road infrastructure to rapidly deliver safer roads today while accelerating the adoption of connected and automated vehicles (CAVs) moving forward. With ongoing deployments in Michigan and Texas, Cavnue is the only company in North America that uses Smart Road technology to improve performance for road operators and deliver a safer, more efficient experience for all road users while preparing for a future with more CAVs. Our mission is to set the new standard for road performance and safety. Role Overview We seek an experienced Platform/Integration Engineer with a strong foundation in systems engineering. You will be responsible for designing, building, and maintaining robust services and integration solutions that incorporate real-time data processing and state estimation from various sensor inputs. This fully remote role involves collaborating with cross-functional teams to develop and deploy systems where accurate estimation and prediction based on classical methods are critical. Join us to build the foundational systems that power intelligent applications through sophisticated data interpretation. Core Responsibilities: <ul> <li>Expert with Python and using technologies such as Postgres.</li> <li>Drive production of high-quality code through standards adoption, lifecycle testing, and continuous monitoring for opportunities to improve.</li> <li>Engineer data structures, databases, and data lakes for optimal performance and reactivity in a production environment.</li> <li>Develop and maintain APIs, and integration patterns to support the deployment, orchestration, and operation of AI agents and multi-agent systems. This role focuses on building the "Platforms for AI" rather than using AI within the platform itself. Take the AI into production.</li> <li>Implement comprehensive monitoring, logging, and alerting for platform health, data quality, and algorithm performance.</li> <li>Collaborate closely with hardware engineers, software developers, and researchers on sensor selection, system architecture, calibration procedures, and resolving integration challenges.</li> <li>Maintain clear documentation for algorithms, system designs, integration points, and operational procedures.</li> <li>Assurance of high-quality code through standards adoption, lifecycle testing, and continuous monitoring for opportunities to improve</li> <li>Establish low-latency/high throughput APIs on streaming packets of data from the cloud and edge</li> <li>Contribute to a health and positive engineering culture</li> </ul> Nice to Have Responsibilities: <ul> <li>Work in a number of languages (Python, C++, Go), established libraries and technologies (Redis, BigQuery, Pulsar, Flink) and development environments (K8s, NVIDIA Jetson)&nbsp;&nbsp;</li> <li>Experience with technologies like Apache Spark or Kafka</li> <li>Design, build, manage, and optimize scalable, secure, and cost-effective infrastructure and platforms specifically tailored for AI/ML workloads on cloud platforms</li> <li>Support the frameworks that enable fine-tuning, serving, and monitoring Large Language Models (LLMs) efficiently and reliably.</li> <li>Build and manage scalable data ingestion, storage (e.g., data lakes), and processing pipelines optimized for ML training data and feature engineering.</li> <li>Stay current with the latest advancements and best practices in AI/ML, MLOps, LLMs, and agent technologies, driving continuous improvement. The rapid evolution of this field necessitates constant learning and adaptation.</li> </ul> Requirements: <ul> <li>5+ years of professional experience in software engineering, platform engineering, or integration engineering.</li> <li>Bachelors Degree in Computer Science, Engineering or equivalent experience</li> <li>Proficiency in programming languages commonly used for both platform development and algorithm implementation, such as Python and C++</li> <li>Experience with cloud platforms (AWS, Azure, or GCP) and core infrastructure services</li> <li>Experience with containerization (Docker) and orchestration (Kubernetes).</li> <li>Excellent problem-solving, analytical, and troubleshooting skills</li> <li>Strong communication and collaboration skills</li> <li>Experience working with Git, GitHub, Jira, Confluence – or similar tools – including complex operations and workflows</li> <li>Comfortable working in a Linux development environment</li> <li>History of building software in highly-collaborative environments</li> <li>Willingness and eagerness to think about how to solve problems for multiple users through common interaction patterns</li> <li>Experience designing practical and compelling architectures and systems</li> <li>You demonstrate curiosity and initiative to understand complex systems, with the ability to make meaningful progress independently and with minimal guidance.</li> </ul> Bonus: <ul> <li>Early-stage start-up experience is a plus</li> <li>Worked in development of complex build processes and optimizing developer workflows</li> <li>Experience with Infrastructure as Code (e.g., Terraform, Ansible) and CI/CD pipelines</li> <li>Experience with LangChain software framework</li> </ul> Salary Range: The compensation range for this position is specific to the location(s) listed below and is the range Cavnue reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Actual pay may vary based on these factors and geography. Remote:&nbsp;$145,000 - $195,000 Additional Compensation: The successful candidate may be eligible to participate in Cavnue's equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Note: Cavnue's benefit, compensation and incentive programs are subject to eligibility requirements and other terms of the applicable plan or program. Benefits: <ul> <li>Medical, dental, and vision benefits</li> <li>Life insurance and disability insurance</li> <li>401(k) with 4% company contribution - no waiting period</li> <li>Parental and adoption leave</li> <li>Fertility and infertility benefits</li> <li>Wellness perks including access to on-demand primary care, virtual health appointments, and online mental health therapy</li> <li>Generous PTO bank, including paid year-end holiday shutdown</li> <li>Company-sponsored lunches twice weekly (in office)</li> <li>Learning and development opportunities</li> <li>Top-of-the-line equipment</li> </ul>

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Nasdaq is seeking a strategic and collaborative Product Manager to support the ongoing maturity of their product processes. This role involves cross-functional collaboration and process excellence, driving consistency across product teams. The role also leads the Nasdaq Innovation Lab, focusing on incubating new product ideas and validating concepts through Voice of the Customer (VoC). Responsibilities include partnering with various teams for alignment, leading the Innovation Lab, championing product process maturity, improving processes, fostering innovation, coordinating product operations, driving transparency, and supporting the Product Innovation Network. The role requires experience in product management, program management, and innovation.

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Nasdaq is seeking a strategic and collaborative Product Manager to support the ongoing maturity of our product processes across a diverse product portfolio within Nasdaq’s Capital Access Platforms Division. This role is a critical enabler of cross-functional collaboration and process excellence—driving consistency, clarity, and alignment across product teams. You will also lead the Nasdaq Innovation Lab, a key initiative focused on incubating new product ideas, validating concepts through Voice of the Customer (VoC), and formalizing innovation practices. This is a unique opportunity to shape how innovation is driven, scaled, and embedded across Nasdaq’s product landscape.<ul><li>Cross-functional Collaboration: Partner with teams across product development, marketing, sales, finance, and other departments to ensure alignment and efficient execution of the product strategy.</li><li>Innovation Lab Leadership: Lead the strategy and execution of the Nasdaq Innovation Lab, guiding early-stage product discovery and feedback loops.</li><li>Product Process Maturity: Champion product process maturity across teams—aligning on roles, practices, and best methods throughout the product lifecycle. Identify and remove obstacles to improve innovation delivery.</li><li>Process Improvement: Develop and institutionalize prioritization frameworks, planning cadences, and operational practices to improve consistency and decision-making.</li><li>Culture of Innovation: Foster a culture of innovation by implementing repeatable, scalable processes for new idea generation, validation, and transition to product teams.</li><li>Coordination: Act as a central point of coordination for product operations initiatives that span multiple lines of business.</li><li>Transparency: Drive transparency across product teams by enhancing visibility into the innovation pipeline across the Division.</li><li>Network and Community: Support the Product Innovation Network (PIN) by fostering a product-led culture through community building, workshops, product showcases, and knowledge sharing across Capital Access Platforms.</li></ul><ul><li>Experience: 7–10 years of experience in product management, product operations, or portfolio management, ideally in a B2B, fintech, or SaaS environment.</li><li>Track Record: A track record of improving product processes and aligning teams across complex organizations.</li><li>Program Management: Proven experience in program management, including planning, monitoring, and executing projects to meet business requirements.</li><li>Innovation Experience: Hands-on experience running or supporting innovation labs, incubators, or early-stage product discovery.</li><li>Presentation &amp; Communication: Strong presentation, facilitation and communication skills, with the ability to align diverse stakeholders around shared frameworks and goals.</li><li>Customer Insights: Proficiency in gathering and applying customer insights to drive product and process improvements.</li></ul>Come as You AreNasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.What We OfferWe’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.The base pay range for this role is $127,100 - $211,800. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.Nasdaq’s programs and rewards are intended to allow our employees to:<ul><li>Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off</li><li>Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts</li><li>Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave</li><li>Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days</li><li>Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities</li></ul>For more information, visit <a rel="noopener noreferrer" target="_blank" href="https://www.nasdaq.com/about/careers/benefits-rewards">Nasdaq Benefits &amp; Rewards Career page</a>.

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