Autonomy Engineer - Deep Learning Job at Skydio (San Mateo)

Autonomy Engineer - Deep Learning Model Acceleration

Learning a semantic and geometric understanding of the world from visual data is...

Location

Switzerland , Zurich

Salary:

Not provided

Skydio

Expiration Date

Until further notice

Requirements

Demonstrated hands-on experience with MLOps, ML inference acceleration/optimization, and edge deployment
Strong knowledge of DL fundamentals, techniques, and state-of-the-art DL models/architectures
Strong fundamentals in CV, image processing, and video processing
Demonstrated hands-on experience building and managing ML pipelines for solving vision or vision language tasks including data preparation, model training, model deployment, and monitoring
Experience and understanding of security and compliance requirements in ML infrastructure
Experience with ML frameworks and libraries
Demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, deployment, and monitoring
Comfortable navigating and delivering within a complex codebase
Strong communication skills and the ability to collaborate effectively at all levels of technical depth

Job Responsibility

Develop solutions for high-performance deep learning inference for CV workloads that can deliver high throughput and low latency on different hardware platforms
Profile CV and Vision Language Models (VLMs) to analyze performance, identify bottlenecks and acceleration/optimization opportunities and improve power efficiency of deep learning inference workloads
Design and implement end to end MLOps workflows for model deployment, monitoring, and re-training
Utilize advanced Machine Learning knowledge to leverage training or runtime frameworks or model efficiency tools to improve system performance
Create new methods for improving training efficiency
Implement GPU kernels for custom architectures and optimized inference
Design and implement SDKs that allow customers/external developers to create autonomous workflows using Machine Learning (ML)
Leverage your expertise and best-practices to uphold and improve Skydio’s engineering standards

What we offer

Competitive base salaries
Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Group health insurance plans
Paid vacation time
Sick leave
Holiday pay
Retirement savings plan

Fulltime

Autonomy Engineer - Deep Learning Infrastructure

Learning a semantic and geometric understanding of the world from visual data is...

Location

United States , San Mateo, California

Salary:

170000.00 - 277500.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

Demonstrated hands-on experience with MLOps, ML inference acceleration/optimization, and edge deployment
Strong knowledge of DL fundamentals, techniques, and state-of-the-art DL models/architectures
Strong fundamentals in CV, image processing, and video processing
Demonstrated hands-on experience building and managing ML pipelines for solving vision or vision language tasks including data preparation, model training, model deployment, and monitoring
Experience and understanding of security and compliance requirements in ML infrastructure
Experience with ML frameworks and libraries
Demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring
Comfortable navigating and delivering within a complex codebase
Strong communication skills and the ability to collaborate effectively at all levels of technical depth

Job Responsibility

Develop solutions for high-performance deep learning inference for CV workloads that can deliver high throughput and low latency on different hardware platforms
Profile CV and Vision Language Models (VLMs) to analyze performance, identify bottlenecks and acceleration/optimization opportunities and improve power efficiency of deep learning inference workloads
Design and implement end to end MLOps workflows for model deployment, monitoring, and re-training
Utilize advanced Machine Learning knowledge to leverage training or runtime frameworks or model efficiency tools to improve system performance
Create new methods for improving training efficiency
Implement GPU kernels for custom architectures and optimized inference
Design and implement SDKs that allow customers/external developers to create autonomous workflows using Machine Learning (ML)
Leverage your expertise and best-practices to uphold and improve Skydio’s engineering standards

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Paid vacation time, sick leave, holiday pay and 401K savings plan

Fulltime

Autonomy Engineer - Deep Learning

Learning a semantic and geometric understanding of the world from visual data is...

Location

United States , San Mateo

Salary:

170000.00 - 277500.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

M.S. or Ph.D. in computer science, electrical engineering or related discipline
Demonstrated hands-on experience designing, training and deploying deep learning models
Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
Leverage state-of-the-art academic papers and literature for fast iteration
Ability to thrive in a fast paced, collaborative and highly technical team environment
Comfortable navigating and delivering within a complex codebase
Strong communication skills

Job Responsibility

Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system
Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
Leverage large scale and diverse synthetic data to power deep learning algorithms
Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
Refine and optimize models for low-latency on embedded hardware
Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
Be a generalist helping out on all aspects of the software when needed

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Paid vacation time
Sick leave
Holiday pay
401K savings plan

Fulltime

Senior Software Engineer, Autonomy - Perception, Deep Learning

We are seeking an experienced Senior Software Engineer to join our Perception te...

Location

United States , Mountain View

Salary:

180000.00 - 198000.00 USD / Year

Cyngn

Expiration Date

Until further notice

Requirements

MS/PhD in computer science, computer engineering, robotics, or similar technical field of study
4+ years of experience writing Python software in a production environment - unit testing, code review, algorithm performance trade-offs, etc.
Strong theoretical foundation in deep learning techniques for computer vision, with working knowledge of linear algebra, probability, and optimization
Hands-on experience developing and deploying deep learning models for real-world perception tasks (e.g., detection, segmentation, multi-object tracking)
Proficiency with libraries such as Pytorch, TensorFlow, Numpy, SciPy, OpenCV (Python), etc.
Experience building and integrating tools and infrastructure to optimize model development lifecycle, including but not limited to model versioning, model evaluation, model deployment, etc.
Excellent written & verbal communication skills

Job Responsibility

Design, implement, and optimize deep learning models for object detection, segmentation, and tracking using camera and lidar data
Build and maintain data pipelines, training infrastructure, and inference frameworks to support reproducible and scalable model development
Develop tools and metrics for evaluating model performance and ensuring robustness across diverse warehouse environments
Work with third-party annotation vendors to generate high-quality labeled datasets for training and validation

What we offer

Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
Company 401(k)
Commuter Benefits
Flexible vacation policy
Sabbatical leave opportunity after 5 years with the company
Paid Parental Leave
Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages

Fulltime

Autonomy Engineer Intern - Computer Vision/Deep Learning

The core of our system is the computer vision algorithms that allow drones to un...

Location

United States , San Mateo

Salary:

47.00 - 53.00 USD / Hour

Skydio

Expiration Date

Until further notice

Requirements

High proficiency in C++ and/or Python and PyTorch
Demonstrated enthusiasm for one or more of the following: computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, distributed systems, and tools/infrastructure
Solid software engineering foundation and a commitment to writing clean, well-architected code
Ability to thrive in a fast-paced, collaborative, small team environment

Job Responsibility

Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today
Research, prototype, and generally assess the feasibility of new approaches
Imagine and then implement new features that unlock magic for our users
Characterize and quantify the performance of core components of the software and hardware stack

F10 Autonomy Engineer Intern

If you have a strong foundation in math, theory, and software development and yo...

Location

United States , San Mateo

Salary:

47.00 - 58.00 USD / Hour

Skydio

Expiration Date

Until further notice

Requirements

Demonstrated enthusiasm for one or more of the following: motion planning, dynamics and controls, 3D graphics, computer vision, deep learning, distributed systems, tools/infrastructure, mobile
Solid software engineering foundation and a commitment to writing clean, well-architected code
High proficiency in C++ and Python
Ability to thrive in a fast-paced, collaborative, small team environment

Job Responsibility

Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today
Research, prototype, and generally assess the feasibility of new approaches
Imagine and then implement new features that unlock magic for our users
Characterize and quantify the performance of core components of the software and hardware stack

Autonomy Engineer Intern

If you have a strong foundation in math, theory, and software development and yo...

Location

United States , San Mateo

Salary:

47.00 - 53.00 USD / Hour

Skydio

Expiration Date

Until further notice

Requirements

Demonstrated enthusiasm for one or more of the following: motion planning
dynamics and controls
3D graphics
computer vision
deep learning
distributed systems
tools/infrastructure
mobile
Solid software engineering foundation and a commitment to writing clean, well-architected code
High proficiency in C++ and/or Python

Job Responsibility

Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today
Research, prototype, and generally assess the feasibility of new approaches
Imagine and then implement new features that unlock magic for our users
Characterize and quantify the performance of core components of the software and hardware stack

Senior Machine Learning Engineer

As Babylist’s Senior Machine Learning Engineer, you’ll be the founding expert dr...

Location

United States; Canada

Salary:

189900.00 - 237400.00 USD / Year

Babylist

Expiration Date

Until further notice

Requirements

6+ years of experience delivering end to end solutions that drive business growth
Deep expertise in the Python ML ecosystem (pandas, sklearn, xgboost, PyTorch)
Strong expertise creating custom embeddings from raw data sources
Experience going beyond off-the-shelf image/text embeddings to develop domain-specific representations for ML models
Proven track record building and delivering production-grade ML solutions, especially recommender systems or personalization features
Experience with the entire ML lifecycle, including workflow orchestration (Airflow) and model monitoring
Strong communication skills with technical and non-technical stakeholders
Background in consumer-facing products preferred
Expertise with e-commerce, dating apps, or complex user journey platforms is highly relevant
Demonstrate autonomy: able to define problem space, architect solutions from scratch (zero to one), and operate with ownership

Job Responsibility

Pioneer ML at Babylist: shape the roadmap, practices, and culture for machine learning and personalization at scale
Own high-impact work end-to-end: build and launch high-leverage personalization features from the ground up
Lead both technically and strategically: be the technical pioneer and strategic leader for ML at Babylist
Collaborate across a strong data organization: partner with data scientists, data engineers, and analytics engineers

What we offer

Competitive salary with equity and bonus opportunities
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Fulltime

Autonomy Engineer - Deep Learning

Skydio

Location:
United States , San Mateo

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 03, 2026

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Location:United States , San Mateo

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Job Description:

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Job Posted:January 03, 2026

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