Top Artificial Intelligence Jobs

Lead company-wide product management in high-ambiguity environment. Define strategy, drive execution across engineering, iterate quickly from 0->1 and 1+, and communicate clearly to align teams.

The role involves defining and improving quality processes for drone manufacturing, collaborating with cross-functional teams to enhance product quality, and managing inspection points, metrics, and quality initiatives.

Design and implement wireless RF solutions across multiple bands, define system requirements, diagnose desense and noise coupling, support PCB/layout and integration, and lead end-to-end product qualification, certification, and production testing.

As Business Operations Lead, drive cross-functional alignment, support strategy and execution, aggregate financials, and manage key projects.

As a Backend Engineer, you will develop core components for an AI product, ensuring reliability, scalability, and performance while mentoring the engineering team.

Responsible for leading a team of engineers and building scalable backend services for data processing, discovery, and lineage systems using cloud ETL technology.

Develop algorithms for autonomous driving and create software for safe and intuitive motion planning. Collaborate with perception and control components, and mentor team members.

Own and grow strategic partnerships, act as primary commercial owner for key accounts, align cross-functional teams for deployments, lead executive-level partner governance, define KPIs, support market rollouts, and translate partner insights into product and engineering requests to scale commercial driverless services.

The Senior Product Manager will lead public sector product initiatives, focusing on AI solutions for government organizations, while collaborating closely with stakeholders and teams.

The Senior Account Executive will focus on selling cybersecurity solutions to State and Local Government clients, driving sales targets, and building relationships while managing complex deals.

Provide end-to-end IT support for engineering and operations, manage endpoints and MDM/MAM, administer identity and access (SSO/IAM), design and secure networks (VPNs, VLANs, firewalls), implement EDR/XDR, automate workflows (Python/Bash/PowerShell), and coordinate vendors to maintain high operational reliability and compliance.

Lead definition of system-level performance metrics and abstractions across custom silicon, runtimes, compilers, and distributed inference clusters. Design telemetry taxonomies, cross-layer event correlation, time-alignment strategies, and cluster-scale performance reasoning. Build developer tooling and analysis engines to surface actionable insights and influence instrumentation for future hardware.

Build and maintain automation, CI/CD, and observability for hybrid cloud and on-prem HPC workflows. Optimize Slurm scheduling, manage containerized environments, integrate cloud resources, implement caching/artifact systems, and support security, secrets management, and developer productivity across hardware and software teams.

The Senior Revenue Accountant will ensure accurate revenue recognition according to ASC 606, manage revenue accounting closes, prepare financial reports, and collaborate across teams on revenue forecasting and system implementations.

The Customer Success Manager enhances customer satisfaction by managing accounts, resolving issues, guiding product utilization, and fostering long-term relationships to ensure client success with ServiceTitan.

As a Senior Data Engineer, you'll design and optimize data systems and pipelines, lead integrations, ensure data quality, and collaborate with cross-functional teams to enhance data infrastructure.

Design and implement SystemVerilog RTL for high-speed ASIC compute, memory, and networking subsystems. Define microarchitecture, optimize Power/Performance/Area, collaborate with verification/physical teams, prototype features with architects/software, mentor junior engineers, and improve design flow using AI and automation.