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

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

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

Senior Infrastructure Engineer - Postgres

ClickHouse is expanding its cloud data platform across AWS, GCP, and Azure—addin...

Location

United States

Salary:

140000.00 - 208000.00 USD / Year

ClickHouse

Expiration Date

Until further notice

Requirements

7+ years in SRE, DevOps, or infrastructure engineering, with a track record of running distributed, production-grade systems
Solid understanding of Postgres operations, scaling, and performance tuning
Deep hands-on experience across AWS, with exposure to GCP and Azure
comfortable navigating multi-cloud topologies
Proficient with Terraform, Kubernetes, and container-based infrastructure
Strong Go development skills (or willingness to write and own production Go code)
Familiar with tools like Prometheus, Grafana, Loki, OpenTelemetry, or equivalents
Deep understanding of SLOs, incident response, and continuous improvement in service reliability
You operate with a founder’s mentality — hands-on, resourceful, and willing to dive deep to get things done. You take pride in hard work, autonomy, and shipping impactful systems

Job Responsibility

Lead reliability and operations for ClickHouse’s Postgres integration — upgrades, patching, maintenance, and scaling
Design and implement automation for provisioning, deployments, and service lifecycle management across AWS, GCP, and Azure
Develop infrastructure-as-code using Terraform and modern CI/CD tooling to ensure consistent, repeatable deployments
Contribute Go-based tooling and services that improve automation, observability, and developer experience
Own observability and monitoring, ensuring robust alerting, metrics, and tracing across environments
Drive incident management and postmortem practices that strengthen reliability and learning loops
Collaborate cross-functionally with platform, networking, and product teams to improve service operability
Mentor and enable engineers, helping the team scale effectively as customer adoption grows

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites

Fulltime

Senior Infrastructure Engineer - Postgres

ClickHouse is expanding its cloud data platform across AWS, GCP, and Azure—addin...

Location

India

Salary:

Not provided

ClickHouse

Expiration Date

Until further notice

Requirements

7+ years in SRE, DevOps, or infrastructure engineering, with a track record of running distributed, production-grade systems
Solid understanding of Postgres operations, scaling, and performance tuning
Deep hands-on experience across AWS, with exposure to GCP and Azure
comfortable navigating multi-cloud topologies
Proficient with Terraform, Kubernetes, and container-based infrastructure
Strong Go development skills (or willingness to write and own production Go code)
Familiar with tools like Prometheus, Grafana, Loki, OpenTelemetry, or equivalents
Deep understanding of SLOs, incident response, and continuous improvement in service reliability
You operate with a founder’s mentality — hands-on, resourceful, and willing to dive deep to get things done. You take pride in hard work, autonomy, and shipping impactful systems

Job Responsibility

Lead reliability and operations for ClickHouse’s Postgres integration — upgrades, patching, maintenance, and scaling
Design and implement automation for provisioning, deployments, and service lifecycle management across AWS, GCP, and Azure
Develop infrastructure-as-code using Terraform and modern CI/CD tooling to ensure consistent, repeatable deployments
Contribute Go-based tooling and services that improve automation, observability, and developer experience
Own observability and monitoring, ensuring robust alerting, metrics, and tracing across environments
Drive incident management and postmortem practices that strengthen reliability and learning loops
Collaborate cross-functionally with platform, networking, and product teams to improve service operability
Mentor and enable engineers, helping the team scale effectively as customer adoption grows

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites

Autonomy Software Engineer

As an Autonomy Engineer, your primary goal will be to make our autonomy system m...

Location

United States , San Mateo

Salary:

147000.00 - 210000.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

1+ years of experience writing production level code for autonomous robots, preferably flying robots
High level of proficiency in C++ and Python
Practical experience implementing state of the art algorithms in a robotics-adjacent area including computer vision, state estimation, motion planning, controls, sensor characterization and integration, UAS software and hardware development
Highly curious, creative, and able to communicate concepts to non-technical audiences
Strong software engineering fundamentals and a commitment to writing clean, well-designed, maintainable, readable code
Excited to use robotics to make the world safer, more productive, and more creative

Job Responsibility

Build cutting-edge autonomous capabilities through tight cross functional collaboration with our vision, planning & controls, deep learning, infrastructure, embedded, cloud, mobile, design, product, and flight test teams
Develop core robotics algorithms to expand our autonomous operational envelope in challenging environmental conditions, including night time, in urban canyons, in areas of GNSS and C2 interference, at sea, and in precipitation
Triage customer issues, recognize trends, and rapidly make our system more resilient to failures seen in the field
Research investments in simulated and in-real-life test infrastructure
Develop a deep understanding of core robotics principles coupled with a full understanding of how our system works
Help out across the full software stack when needed, maintaining the highest standards for code quality and proactively addressing tech debt
Conceive, design, implement, simulate, evaluate, and fly new motion planning strategies to extend capabilities and improve customer experience

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
Group health insurance plans

Fulltime