Stack AV

Technical Program Manager

• Manage the execution and communication of major, high-stakes cross-functional programs that require end-to-end alignment across the entire organization.
• Develop and maintain comprehensive technical roadmaps and tactical schedules, balancing near-term delivery milestones with Stack’s long-term commercial autonomy vision.
• Build deep, trust-based relationships with diverse cross-functional stakeholders to align engineering teams, push technical paths forward, and unify the organization around shared goals.
• Analyze plans and requirements with engineering leads to uncover opportunities, challenge assumptions, and safely accelerate the development and deployment schedule.
• Evaluate complex technical and resource trade-offs in constrained environments, framing clear choices and recommendations for leadership.
• Synthesize granular technical progress into high-impact insights for senior leadership, delivering data-driven arguments that help executives make difficult decisions in reviews and all-hands.
• Design and scale engineering processes within your programs, establishing operational frameworks that reduce friction and elevate efficiency across the broader organization.
• Explore new, highly complex technical domains as needed, stepping in proactively to fill leadership, execution, or process gaps to ensure program success.

Staff Technical Program Manager

DevOps Engineer

• Instrument systems scheduling and executing large-scale batch workloads across Kubernetes clusters.
• Diagnose and triage job failures for customers.
• Collaborate with teams across the company to understand workload requirements and improve platform capabilities.
• Scale the reliability and velocity of our systems and processes through increased automation.
• Document actions to build a comprehensive library of runbooks, which will act as a knowledge base and foundation for automation.
• Participate in an on-call rotation to uphold the SLOs and SLAs of production services.
• Contribute to platform tooling, automation, and CI/CD workflows.

Site Reliability Engineer

• Monitor and maintain mission-critical production services to ensure maximum uptime.
• Design and implement scalable distributed systems to facilitate the development of self-driving vehicles.
• Design and implement an incident management framework and build a culture of blameless postmortems and continuous learning.
• Scale the reliability and velocity of our systems and processes through increased automation.
• Document actions to build a comprehensive library of runbooks, which will act as a knowledge base and foundation for automation.
• Participate in an on-call rotation to uphold the SLOs and SLAs of production services.

Senior Site Reliability Engineer

Machine Learning Engineer

• Design platform architecture for multi-tenant inference workloads across serving, orchestration, control plane, APIs, SDKs, observability, and model-engine integration.
• Develop robust API layers (gRPC, WebSockets, REST, etc.) and developer SDKs that abstract complex distributed inference orchestration into seamless, reliable token streams.
• Build and harden a multi-tenant control plane to enable accurate metering, rate limiting, quotas, tenant isolation and noisy-neighbor fairness across the platform.
• Optimize inference performance across the entire system stack, including the model engine layer.
• Build observability and SLOs to gain insights into system economics, cache-hit rates, GPU utilization and cost accounting per model and per tenant.
• Partner with product and infrastructure teams on model onboarding, capacity planning, external API contracts and customer adoption.
• Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team.

Staff Software Engineer, Machine Learning Inference Platform

• Own technical design and delivery of subsystems in a high-throughput, low-latency inference platform capable of handling multi-tenant, enterprise-grade inference workloads.
• Develop robust API layers (gRPC, WebSockets, REST, etc.) and developer SDKs that abstract complex distributed inference orchestration into seamless, reliable token streams.
• Build and harden a multi-tenant control plane to enable accurate metering, rate limiting, quotas, tenant isolation and noisy-neighbor fairness across the platform.
• Optimize inference performance across the entire system stack, including the model engine layer.
• Build observability and SLOs to gain insights into system economics, cache-hit rates, GPU utilization and cost accounting per model and per tenant.
• Partner with product and infrastructure teams on model onboarding, capacity planning, external API contracts and customer adoption.
• Decompose ambiguous work, drive issues to closure, and raise the engineering bar through code quality, reviews, testing, and mentoring.

Senior Software Engineer, Machine Learning Inference Platform

Program Manager

• Design and run Fleet Operations approach to training content for all initiatives and supporting departments.
• Introduce relevant, innovative learning opportunities that have demonstrable impact across multiple teams and departments.
• Plan, develop, coordinate, and facilitate in person and virtual training classes for Fleet Operations Managers.
• Apply the appropriate level of project/program management structure and communication to those initiatives.
• Define projects, collect requirements, develop detailed implementation plans, and monitor program status to completion.
• Maintain a strong technical understanding of the projects across the entire lifecycle by regularly interfacing with highly-technical team leads, program managers, and other key contributors across the organization.
• Identify roadblocks and organize key stakeholders to drive to resolution.
• Present status reports on regular cadence to members of the leadership team.

Program Manager, Training

Supply Chain

• Ensure all pilot and test missions comply with Department of Transportation (DOT) and Federal Motor Carrier Safety Administration (FMCSA) regulations, as well as state-specific autonomous vehicle (AV) testing and deployment mandates.
• Establish and maintain standard operating procedures for freight disruptions, weather delays, and operational exceptions, ensuring minimal impact on customer supply chains.
• Identify operational bottlenecks and implement process improvements to lower unnecessary dwell time and delays on route.
• Oversee day-to-day freight movement for commercial pilot partners, ensuring delivery SLA is met and seamless hub-to-hub operations achieved.
• Act as a primary operational point of contact for pilot customers. Conduct regular operational reviews, provide performance metrics, and translate customer feedback into operational workflows.
• Partner with the product and engineering teams to provide operational feedback, helping to shape the internal dispatching tools, driver scheduling, asset and service tracking, and freight management software.