• Design, develop, and deliver safe, scalable, and robust real-time software for mass production grade autonomous vehicle systems directly contributing to safer roads and economically viable AI deployment. • Conduct in-depth algorithm analysis, optimization, and iteration to enhance efficiency and accuracy across the AV stack. • Architect scalable continuous learning system for deploying new ML models, monitoring their performance, and prioritizing improvements. • Collaborate with platform, embedded, and AI teams to ensure cohesive development, validation, and integration of ML based perception, prediction, and planning. • Stay abreast of industry trends and emerging tools in high-performance computing, real-time systems, and AI-driven mobility.

• Build and maintain AI-powered pipeline generation infrastructure — property trigger monitoring from sources like ConstructConnect, ALN, and CoStar; account and building scoring models; and outreach automation that operationalizes signals into rep-ready pipeline • Develop and operate a library of role-specific AI agents and prompt templates (i.e. post-call summarization, outreach personalization, next-best-action guidance, and deal coaching), while owning the prompt engineering and agent reliability infrastructure that keeps them running at scale • Design and build internal tools for reps and operators, such as building and partner maps, call preparation and proposal drafting tools, deal coaching dashboards, and other lightweight applications that give the Sales team self-serve access to intelligence and workflow acceleration • Analyze Salesforce data, call transcripts, pipeline patterns, and conversion signals to identify where revenue constraints are sharpest and which automation investments will move the most important levers; use those findings to set the automation agenda, measure the impact of what ships, and feed a continuous improvement loop between what gets built and whether it’s working • Own the rep-facing intelligence layer — the natural language query interface that gives reps and operators self-serve access to pipeline data, and the conversational intelligence pipeline that extracts Gong signal into CRM fields and surfaces actionable insights from call activity • Govern GTM data integrity across the Sales stack ensuring that Salesforce reflects activity accurately, opportunity stages are enforced before forecast pollution occurs, and account and building ownership conflicts are caught and resolved in real time • Maintain the integration and data quality relationships that keep the automation layer stable, working with Business Systems on integration reliability and with the Revenue Intelligence Lead to ensure agent inputs are clean, governed, and properly routed when issues surface

• Design and build production-grade products end-to-end—back-end through UI—across consumer apps, developer-facing technologies and internal platform tooling. • Build the high-performance back-ends and services these products depend on. • Create developer technologies—SDKs, APIs, CLIs, libraries and starter kits—that make the platform easy to build on. • Build internal tooling and platform infrastructure that raises the velocity of the whole team. • Work self-directed: watch the ecosystem and the team's needs, spot gaps and propose and build what moves things forward. • Work with DevRel, Marketing and BD so what you build lands with users and developers and fits go-to-market.

• Responsible for software development, including but not limited to, algorithm development, software design, implementation, unit testing, vehicle testing and deployed software maintenance while following quality, build, deploy and test processes, safety and process requirements and guidelines. Includes both Autonomous and Perception Engineers. • Responsible for executing full software development lifecycle activities using primarily C++ skills in Linux development environment using Lean-Agile methodologies. • Responsible to complete software assignments including but not limited to software design, implementation, unit testing, vehicle testing and deployed software maintenance while following quality, build, deploy and test processes, safety and process requirements and guidelines. • Assist in root cause analysis of issues found in testing and process automation steps. • Support team in identifying daily assignments and reporting progress at daily stand ups. • Support software and system level test plans and verification strategies to support ongoing feature development and bug fixes. • Designing and implementing systems responsible for data acquisition and analysis from remote vehicles in the field. • Responsible for ensuring software updates do not regress the software performance by utilizing simulation software and scenarios. • Passion for autonomy technology product area • Communicate well in a team environment being able to clearly articulate progress, design expectations and support needed to help the team accomplish goals. • Expected to drive alignment across team’s interfaces to the rest of the organization. Designs, maintains and owns team’s technical solutions and drives consensus. Mentors and guides engineers within the group.