CrawlJobs Logo

Autonomy Engineer - Deep Learning Infrastructure

skydio.com Logo

Skydio

Location Icon

Location:
Switzerland , Zurich

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

Learning a semantic and geometric understanding of the world from visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent mobile robots. If you are excited about leveraging massive amounts of structured video data to solve problems in Computer Vision (CV) such as object detection and tracking, optical flow estimation and segmentation, we would love to hear from you. As a deep learning infrastructure engineer, you will be responsible for building and scaling the infrastructure that supports Skydio’s Deep Learning (DL) and AI efforts. You will be working at the nexus of Skydio’s autonomy, embedded and cloud teams to deliver new capabilities and empower the deep learning team.

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

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
What we offer:
  • 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
  • 401K savings plan

Additional Information:

Job Posted:
January 03, 2026

Employment Type:
Fulltime
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Autonomy Engineer - Deep Learning Infrastructure

Senior Software Engineer, Autonomy - Perception, Deep Learning

We are seeking an experienced Senior Software Engineer to join our Perception te...
Location
Location
United States , Mountain View
Salary
Salary:
180000.00 - 198000.00 USD / Year
cyngn.com Logo
Cyngn
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Senior Infrastructure Engineer - Postgres

ClickHouse is expanding its cloud data platform across AWS, GCP, and Azure—addin...
Location
Location
United States
Salary
Salary:
140000.00 - 208000.00 USD / Year
clickhouse.com Logo
ClickHouse
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Senior Infrastructure Engineer - Postgres

ClickHouse is expanding its cloud data platform across AWS, GCP, and Azure—addin...
Location
Location
India
Salary
Salary:
Not provided
clickhouse.com Logo
ClickHouse
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Autonomy Engineer - Deep Learning Infrastructure

Skydio is the leading US drone company and the world leader in autonomous flight...
Location
Location
United States , San Mateo
Salary
Salary:
170000.00 - 236500.00 USD / Year
skydio.com Logo
Skydio
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Demonstrated hands-on experience with MLOps, ML inference 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
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 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 ML
  • Leverage your expertise and best-practices to uphold and improve Skydio’s engineering standards
What we offer
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
Read More
Arrow Right

Autonomy Engineer - Deep Learning Model Acceleration

Learning a semantic and geometric understanding of the world from visual data is...
Location
Location
Switzerland , Zurich
Salary
Salary:
Not provided
skydio.com Logo
Skydio
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
  • Paid vacation time
  • Sick leave
  • Holiday pay
  • Retirement savings plan
  • Fulltime
Read More
Arrow Right

Autonomy Engineer - Deep Learning Model Acceleration

Learning a semantic and geometric understanding of the world from visual data is...
Location
Location
United States , San Mateo, California
Salary
Salary:
170000.00 - 277500.00 USD / Year
skydio.com Logo
Skydio
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Digital S/W Engineer Sr Analyst

The Digital S/W Engineer Sr Analyst is a seasoned professional role. Applies in-...
Location
Location
Mexico , Ciudad De Mexico
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5-8 years in a product development/product management environment
  • Strong analytical and quantitative skills
  • Data driven and results-oriented
  • Experience delivering with an agile methodology
  • Experience in affecting large culture change
  • Experience leading infrastructure programs
  • Skilled at working with third party service providers
  • Excellent written and oral communication skills
  • Bachelor’s/University degree or equivalent experience
Job Responsibility
Job Responsibility
  • Accountable for executing and driving mid-size feature application design and development efforts to completion
  • Serving as a development lead on medium-scale projects and supporting the execution of larger efforts
  • Proficient at operating with considerable autonomy and discretion
  • Capable of research in root cause of development and performance concerns as well as the resolution of defects
  • Have a deep understanding of the technical requirements for the solutions being built
  • Understand engineering needs including those required to build, maintain, and operate the system through all phases of its life
  • Proficient in information modeling, data structures and algorithms
  • Understand maintenance characteristics, runtime properties and dependencies that exist in support of your system’s software
  • Demonstrate an advanced understanding of supported main system flows and possess a comprehensive understanding of how the system and others collectively integrate to contribute towards achieving business objectives
  • Participate in design discussions as a Development Lead and as such will play the part of a key decision maker in driving design decisions
  • Fulltime
Read More
Arrow Right

Machine Learning Engineering Team Lead

Lead a high-performing team focused on building large-scale distributed training...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
aignostics.com Logo
Aignostics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
  • 6+ years of software engineering or ML engineering experience, with at least 2 years in a technical leadership or team lead role
  • Proven track record of building and leading high-performing engineering teams
  • Experience guiding projects across the whole Software Development Life Cycle
  • Deep understanding of fundamental Machine Learning concepts and principles, familiarity with advanced model optimization techniques
  • Significant experience with large-scale distributed training systems and frameworks (especially PyTorch and NCCL)
  • Familiarity with GPUs, distributed systems, parallel computing and scaling laws
  • Advanced programming skills in Python, experience in performance-critical languages (C/C++ or CUDA) being a plus
  • Familiarity of MLOps/DevOps best practices including CI/CD, Docker, Kubernetes, and observability, cloud platforms (GCP, AWS or Azure) and infrastructure-as-code
  • Experience with Linux, version control, and container technologies
Job Responsibility
Job Responsibility
  • Build and scale a high-performing team capable of tackling complex distributed ML challenges
  • Own the full employee lifecycle: recruiting, onboarding, performance management, career development, and retention
  • Empower your team members and help them grow in autonomy and technical expertise
  • Mentor engineers at all levels, fostering a culture of continuous learning and psychological safety
  • Create an inclusive environment where diverse perspectives drive innovation
  • Define and execute technical roadmaps aligned with company objectives and product needs
  • Lead resource allocation and capacity planning to balance team workload and business priorities
  • Own FinOps responsibilities: optimize cloud costs, track spending, and ensure efficient resource utilization
  • Ensure operational readiness through monitoring, incident response protocols, and system reliability practices
  • Establish and track KPIs for team performance, system efficiency and health
What we offer
What we offer
  • Learning & Development yearly budget of 1,000€ (plus 2 L&D days)
  • Language classes, and internal development programs
  • Access to leadership development programs and executive coaching
  • Flexible working hours and teleworking policy
  • 30 paid vacation days per year
  • Family & pet friendly and support flexible parental leave options
  • Subsidized membership of your choice among public transport, sports, and well-being
  • Social gatherings, lunches, and off-site events for a fun and inclusive work environment
  • Optional company pension scheme
Read More
Arrow Right