Lead a team of software engineers to deliver meaningful customer and business outcomes.
Compensation
Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Lead a team of software engineers to deliver meaningful customer and business outcomes.
Own the technical quality and engineering outcomes of the team.
Drive engineering excellence across design, implementation, testing, deployment, security, reliability, performance, and maintainability using AI to improve engineering quality and effectiveness.
A deeply technical Principal Software Engineer who combines exceptional engineering judgment with a drive for results, providing technical leadership within Microsoft Purview Insider Risk Management (IRM) across high-throughput, multi-tenant cloud services, large-scale distributed data processing systems, and AI-powered capabilities.
Compensation
The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Set technical direction for complex, high-scale systems
Lead complex initiatives across team boundaries
Raise the engineering bar across architecture, design, implementation, testing, deployment, security, reliability, performance, and maintainability
Solve systemic engineering problems
Multiply the impact of other engineers through mentoring and coaching
Requirements
Bachelor's Degree in Computer Science or related technical discipline
Experienced AI Solutions Architect to take ownership of the company's AI landscape, focusing on designing enterprise-grade AI platforms and shaping technical direction.
Responsibilities
Develop the long-term AI architecture roadmap and align it with business and technology strategies.
Design robust AI and machine learning platforms that are scalable, reliable, and secure.
Assess, recommend, and implement appropriate AI technologies, cloud services, and development frameworks.
Partner with engineering, data, and product teams to deliver high-quality AI solutions.
Define architecture standards, governance policies, and best practices for responsible AI adoption.
Requirements
Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, or another relevant discipline
AI Engineer specializing in Neural Scene Reconstruction for autonomous driving simulation environments.
Responsibilities
Develop and improve neural scene reconstruction models using 3DGS, NeRF, and other learned 3D representations to reconstruct realistic driving environments.
Implement dynamic scene reconstruction techniques, modeling static environments and moving traffic agents while handling occlusions, incomplete observations, and challenging environmental conditions.
Develop neural rendering and novel-view synthesis methods to generate realistic camera observations from reconstructed 3D scenes.
Contribute to multimodal sensor rendering, including camera, LiDAR, and radar simulation, to support realistic virtual testing environments.
Build scalable reconstruction and rendering pipelines for efficient experimentation and large-scale processing of real-world driving datasets.
Requirements
Bachelor's or Master's degree in Computer Science, Computer Vision, Robotics, Electrical Engineering, or a related discipline, or equivalent practical experience.
Join an early-stage AI video team as a founding backend engineer, helping build the systems behind generative video products. You will provide technical leadership on a small team and establish strong engineering practices as the product and infrastructure grow.
Compensation
Base salary: $225,000 to $275,000 annually. Visa sponsorship is not available.
Responsibilities
Design and develop scalable backend systems for AI-powered video creation.
Build infrastructure for agentic workflows, video generation pipelines, reinforcement learning loops, and real-time data processing.
Own distributed systems architecture and improve reliability through automated testing, performance benchmarks, and end-to-end observability.
Partner with research, engineering, and design teammates to develop product features and APIs.
Write production code, set technical direction and engineering guidelines, and raise the team's engineering standards.
Lead technical QA/QC and characterization of airborne lidar datasets and derived elevation products against 3DEP, ASPRS, contractual, and project-specific requirements.
Responsibilities
Lead technical QA/QC and characterization of airborne lidar datasets and derived elevation products
Develop and implement advanced methods for evaluating lidar point density, spatial distribution, completeness, and localized deficiencies
Perform vertical accuracy assessments using GNSS, total-station, terrestrial laser scanning, UAS, and other independent reference datasets
Investigate lidar anomalies and determine whether observed deficiencies are associated with acquisition, calibration, classification, processing, or product-generation workflows
Develop scalable Python-based tools for processing tens of millions of points per tile and thousands of production datasets
Senior Staff ScientistNewUniversity of Toronto · Toronto, Canada
Senior Software Engineer, AI/ML NLP, Deep Learning, Search InfrastructureGoogle · Mountain View, US_(1)_(1).png?1723110055)
Python Software Engineer - Data InfrastructureMan Group · London, United Kingdom