Engineering Manager - Autonomy Job at Skydio (San Mateo)

New

Engineering Manager - Autonomy Evaluation

General Motors is a global leader in advanced driver assistance. With Super Crui...

Location

United States , Sunnyvale

Salary:

185100.00 - 284100.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

8+ years of relevant experience in robotics, autonomous systems software, data analysis, ML evaluation, or autonomy analytics, including substantial experience leading technical teams and delivering complex software systems
3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystems
Strong proficiency developing Python in production team environments, including testing, performance, and code review
Strong hands-on familiarity with Pandas, NumPy, SciPy, and data visualization libraries for large-scale analysis and reporting
Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms
Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex services or platforms end-to-end
Strong cross-functional communication and an ability to convert ambiguous evaluation needs into clear technical plans
Strong analytical curiosity and a disciplined approach to root-causing anomalous data and system discrepancies
Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience

Job Responsibility

Lead, coach, and grow a team of engineers building autonomy evaluation platforms, metrics, workflows, dashboards, and analysis tooling for simulation and on-road testing
Set technical direction for systems that introspect autonomous driving software performance across interfaces and across the autonomy stack
Drive the design and delivery of analysis algorithms that summarize, aggregate, and cluster metrics from simulation and on-road runs
Guide the team in developing new statistical and machine learning methods to quantify performance and identify behavior patterns across scenes and operational domains
Oversee evaluation approaches for ML components across perception, prediction, and planning, ensuring methods are explainable, scalable, and useful to development and verification teams
Ensure the team delivers clear dashboards and interactive reports for trend analysis, drift detection, scenario coverage, and leadership insight
Partner closely with Autonomy, Simulation, Systems, and Safety teams to define requirements, resolve handoff issues, and align evaluation strategy with product and release needs
Help the organization leverage emerging AI techniques, including VLMs and LLMs where appropriate, to classify autonomy performance and prioritize validation work with human-in-the-loop review
Maintain a high technical bar through strong system design, code review, testing, observability, and engineering best practices
Translate system-level results into clear feedback for engineering and leadership and drive execution against high-priority evaluation outcomes

What we offer

Medical
Dental
Vision
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation & holidays
Tuition assistance programs

Fulltime

Manager / Senior Manager, Analytics Engineering

KOHO is looking for a Manager or Senior Manager, Analytics Engineering to lead a...

Location

Canada

Salary:

170000.00 - 220000.00 CAD / Year

KOHO

Expiration Date

Until further notice

Requirements

5+ years in analytics engineering, data engineering, or similar technical data roles, including 2+ years managing technical teams
Proven people leader: Track record of hiring, developing, and retaining high-performing individual contributors
Experience scaling teams: You've built or grown technical teams and established practices that enable sustainable growth
Expert-level dbt knowledge: Deep experience with dbt Core/Cloud, complex projects, advanced materializations, macros, packages, and project architecture
Strong SQL and data modelling skills: Proficiency with dimensional modelling, event modelling, and performance optimization
Modern data stack fluency: Experience with dbt, Git, CI/CD, data warehouses (Redshift is a plus), and orchestration tools
Infrastructure mindset: Understanding of data platform architecture, scalability, and reliability patterns
Strategic thinker: Able to translate business objectives into technical roadmaps and prioritize effectively
Exceptional communicator: Adapt messaging for different audiences from C-suite to individual contributors
Stakeholder management: Navigate competing priorities, manage expectations, and build trusted partnerships across the organization

Job Responsibility

Build and develop a high-performing team: Mentor, and grow the Analytics Engineers through coaching, performance management, and career development
Foster a culture of excellence: Set standards for code quality, documentation, and collaboration while building psychological safety and autonomy
Enable team success: Build systems, prioritize work strategically, and ensure your team has the context and resources to deliver impact
Drive performance: Conduct regular 1:1s, performance reviews, and calibrations aligned with KOHO's high-performance culture
Develop a long-term talent strategy, identifying skill gaps and creating career pathways that ensure KOHO attracts and retains top-tier analytics engineering talent
Own the analytics engineering platform: Maintain and evolve the data infrastructure supporting 20+ developers across analytics engineering and broader data teams (product analysts, business analysts, and developers)
Architect for scale: Define technical strategy, standards, and best practices for data modelling, pipeline development, and data quality
Optimize performance: Monitor infrastructure health, drive query optimization, and ensure reliability across critical data pipelines
Champion technical excellence: Establish governance frameworks, code review standards, and documentation practices
Partner with domain leaders: Collaborate with Analytics, Finance, Payment Operations, Risk, Treasury, and Product teams to understand their data needs and translate them into technical roadmaps

What we offer

Competitive compensation & equity
Fantastic, Deeply Engaged Team
Generous vacation + Wellness days + Flex Days + holiday closure
Remote-first environment + coworking support + yearly all hands retreat
Access to coaching & growth programs
Parental top-up & leave policies
Comprehensive health benefits
Power-up budgets for books, home office setup, phone & internet, AI tools, and professional development

Fulltime

New

Senior Engineering Manager, AV Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We'...

Location

United States , San Francisco; Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience in applied ML, AI modeling, or Autonomous Systems
3+ years of experience managing engineering teams, with a track record of leading high-performing ML or AI organizations
Proven experience delivering complex, large-scale AI models or ML pipelines from conception to production
Bachelor's degree in Computer Science, Computer Engineering, or related fields
Deep expertise in modern AI/ML frameworks (e.g., PyTorch, TensorFlow) and Python/Linux environments

Job Responsibility

Team Leadership & Growth: Build, manage, and mentor a high-performing engineering team of ML experts, AI modelers, and data scientists. Foster a culture of rigorous scientific experimentation, high-velocity execution, and engineering excellence
AI Model Execution: Drive the day-to-day development of advanced autonomy algorithms and foundation models. Ensure your team successfully extracts high-fidelity semantic meaning from multi-modal sensor data to enrich our L4 data lake
Technical Strategy & Engineering Rigor: Collaborate with technical leadership to steer foundational architectural choices. Maintain uncompromising quality for deployed systems, ensuring performance is tuned for low-latency execution of large scale data
Cross-Functional Collaboration: Partner closely with Directors, Principal Engineers, Product Managers, and infrastructure teams to align your team's ML modeling efforts with broader business goals and ensure seamless deployment at scale

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan

Fulltime

Control System Engineering Manager

Lead the Future of Autonomy, as our Control System Engineering Manager on the Tr...

Location

United States , Westminster

Salary:

144600.00 - 198800.00 USD / Year

Trimble Inc.

Expiration Date

Until further notice

Requirements

Proven track record in managing engineering teams and leading complex technical projects
Deep expertise in control system algorithm development using MATLAB and Simulink
Extensive experience in the test, verification, and productization of algorithms for mechanical systems
Solid understanding of safety-critical software development, including HIL and SIL testing environments
Strong background in guidance, navigation, and C/C++ software development

Job Responsibility

Lead and inspire a specialized team of engineers, fostering professional growth and removing technical roadblocks to ensure project success
Architect and oversee the development of robust control system algorithms for complex dynamic mechanical systems
Drive continuous improvement in software development processes across geographically dispersed teams to enhance product quality
Drive the strategic integration of cutting-edge AI frameworks and emerging technologies to accelerate problem-solving and optimize operational efficiency
Collaborate with strategic partners to ensure the seamless implementation of safety-critical software and navigation systems

What we offer

Medical
Dental
Vision
Life
Disability
Time off plans
retirement plans
tax savings plans for health
dependent care and commuter expenses
Paid Parental Leave

Fulltime

Senior Software Engineering Manager - Core Cloud Services

We are searching for an exceptional Senior Engineering Manager to join the Auror...

Location

United States , Mountain View

Salary:

212000.00 - 340000.00 USD / Year

Aurora Innovation

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience
10+ years of industry experience in software development, including 5+ years of direct experience as an Engineering Manager leading a team of 5+ engineers, with a proven track record of delivering large-scale backend systems
Deep expertise in cloud backend development, including scalable web services, distributed systems, and modern API design
Experience with external customer facing software including production rollout with real customers
Proven experience managing and mentoring a team of engineers, including hiring, performance management, and career path development
Experience working with Product Management and UI/UX Design teams to define & deliver features that impact end users at scale
Phenomenal communication skills, with the capacity to influence both technical and non-technical stakeholders at all levels
Experience defining technical roadmaps and driving long-term strategic projects that span multiple engineering teams
A preference for action

Job Responsibility

Manage, mentor, and grow a high-performing team of 8-10 software engineers through regular 1:1s, performance reviews, and career development planning
Design complex systems from the ground up, partnering closely with software, hardware and infrastructure engineering teams
Lead the team to architect, design, and build scalable cloud backend services that power real-time and offline workflows essential for commercial operations, fleet optimization, and autonomy improvement
Drive the execution and delivery of robust, well-engineered solutions, ensuring high standards of quality, reliability, and engineering practices across the team
Partner with Product Managers, Designers, Autonomy, and Operations stakeholders to define & execute the technical vision and roadmap
Champion the engineering team and its vision to internal & external stakeholders
Foster a culture of engineering excellence, collaboration, and end-to-end ownership within the team

What we offer

Annual bonus
Equity compensation
Benefits

Fulltime

Director, Engineering - Autonomy

As the Director of Engineering - Autonomy, you will provide the strategic leader...

Location

United States , San Francisco, California; Sunnyvale, California

Salary:

302000.00 - 336000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

12+ years of professional experience in Software Engineering, Machine Learning, or Autonomous Systems
5+ years of leadership experience managing and scaling engineering organizations, including experience managing other managers and senior technical leaders (Principals/Staff)
Proven track record of successfully deploying complex, real-time software systems to physical hardware (edge compute, robotics, or autonomous vehicles)
Bachelor's degree in Computer Science, Computer Engineering, or a related technical field

Job Responsibility

Executive Leadership & Strategy: Define the technical vision and organizational roadmap for major components of the core autonomy system
Core AI & Safety Architecture: Direct the development of robust edge software, guiding the integration of advanced ML models with deterministic, rule-based safety fallbacks
Research & Evaluation Focus: Champion the transition of cutting-edge AI into production-ready software designed specifically to safely orchestrate vehicle operations for advanced research, ecosystem benchmarking, and scaled data collection mission
Organizational Growth: Build, manage, and mentor a high-performing organization of engineering managers, principal engineers, and technical leaders
Cross-Functional Execution: Partner directly with other AV departments to ensure a seamless transition from virtual testing to physical fleet deployment

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Various benefits

Fulltime

Senior Engineering Manager (Civil Aviation)

As a Senior Engineering Manager for the Civil Aviation team, you will lead the e...

Location

United States , Boston

Salary:

Not provided

Air Space Intelligence

Expiration Date

Until further notice

Requirements

Strong experience leading large-scale engineering efforts across multiple teams (e.g., 5–7+ teams)
Proven ability to manage complex, multi-year roadmaps with many interdependent systems and requirements
Deep understanding of distributed systems and system design, with a focus on reliability, scalability, and fault tolerance
Experience driving high-availability systems (e.g., 99.99% uptime) and enforcing reliability standards across teams
At least 2-3+ years of engineering management experience, with prior experience as a software engineer
Ability to set structure, align teams, and drive execution across large programs
Experience coordinating work across multiple parallel workstreams with clear ownership and accountability
Strong judgment in prioritization, tradeoffs, and delivery under constraints
High bar for engineering quality, operational excellence, and accountability
Ability to build trust and lead effectively in a mission-critical environment

Job Responsibility

Lead the execution of large-scale, mission-critical systems that power aviation operations
Oversee multiple engineering teams across a complex, multi-year roadmap, ensuring systems meet strict reliability, performance, and compliance requirements
Drive execution across parallel workstreams, aligning teams around clear technical direction and delivery against a highly complex set of system requirements
Operate deeply at the system design level—guiding architecture, enforcing engineering standards, and ensuring consistency across distributed systems
Lead and develop teams through a high-autonomy management approach: setting clear expectations and direction, supporting individual growth, and establishing the right metrics and feedback loops
Partner closely with product, program management, and domain experts to coordinate delivery across teams
Build systems that integrate complex datasets, support simulations, and enable real-time decision-making

Fulltime

Principal Software Engineering Manager - AI Frameworks

As a Principal Software Engineering Manager - AI Frameworks on the team, you wil...

Location

United States , Redmond

Salary:

139900.00 - 304200.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Master’s Degree in Computer Science or related technical field AND 10+ years of software engineering experience, including 6+ years in engineering management, OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years of software engineering experience, including 6+ years in engineering management, or equivalent experience
Strong technical foundation in software engineering principles, computer architecture, GPU architecture, and hardware acceleration for neural networks, with the ability to guide teams working in these areas
Experience leading teams responsible for end-to-end performance analysis and optimization of LLMs, AI systems, or HPC workloads, including use of GPU profiling and performance analysis tools
Demonstrated ability to lead cross-team initiatives, align stakeholders, and translate research or platform capabilities into scalable, production-ready solutions
Proven people leadership skills, including hiring, coaching, performance management, and career development, with a track record of building high-performing, inclusive teams
Exposure to AI / ML infrastructure, including DNN or LLM training and/or inference systems, and experience with at least one modern deep learning framework (e.g., PyTorch, TensorFlow, ONNX Runtime)
Familiarity with GPU software stacks and acceleration technologies such as CUDA, ROCm, Triton, or equivalent, sufficient to guide technical direction and evaluate tradeoffs

Job Responsibility

Lead and develop a team of engineers working across multiple layers of the AI software stack to enable large-scale training and inference
Set technical vision and execution strategy for model performance benchmarking, optimization, and deployment across GPUs and Microsoft hardware
Drive performance outcomes by prioritizing and overseeing efforts to benchmark, profile, debug, and optimize training and inference workloads
Own performance health by establishing mechanisms to monitor regressions, measure impact, and continuously improve time-to-deploy and hardware efficiency
Partner cross-functionally with research, product, infrastructure, and hardware teams to deliver scalable, production-ready AI performance improvements
Balance short-term delivery and long-term investments, ensuring the team’s work aligns with organizational goals, platform roadmaps, and Azure capex objectives
Build a strong engineering culture through coaching, feedback, hiring, and career development, enabling the team to operate with increasing autonomy and impact

Fulltime

Select Country

Engineering Manager - Autonomy

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?