Autonomy Engineer - Deep Learning Model Acceleration 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, 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

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

Tech Lead Manager - Behaviour Learning for Embodied AI

The Science organisation at Wayve advances foundational research in embodied AI ...

Location

United Kingdom , London

Salary:

Not provided

Wayve

Expiration Date

Until further notice

Requirements

Years of experience in applied ML/AI roles with strong hands-on contributions
Demonstrated track record of impactful technical work in one or more of: multimodal learning, reinforcement learning, generative models, latent action modelling, optimisation, or planning
Experience building large-scale ML infrastructure and working with high-dimensional temporal data (e.g., video, multi-sensor inputs)
Deep understanding of the end-to-end lifecycle of ML research and deployment
Strong Python and PyTorch engineering fundamentals, with experience developing research-grade, production-oriented tools
Proven ability to shape technical strategy and lead architectural design for ML systems
Publications at top-tier ML conferences such as NeurIPS, ICML, CoRL or ICLR
Clear and thoughtful communicator, capable of influencing technical direction and mentoring others without formal reporting lines

Job Responsibility

Architect the future – Design and evolve models for efficient, robust, and adaptable autonomy, setting a high technical bar for quality and innovation
Accelerate research impact – Partner with team members to test, scale, and productionise research ideas - from architecture design to data strategy. Provide technical guidance and feedback on research design, implementation, and evaluation. Implement scalable, high-throughput training pipelines for models with temporal context and develop and evaluate novel data sampling strategies to accelerate training and generalisation
Get hands-on when it matters – Lead from the front by contributing directly to key system components, codebases, and experiments, especially during high-leverage moments. Contribute directly as an IC on core research and development tasks (~60-70% of time)
Disrupt thoughtfully – Challenge assumptions, ask sharp questions, and champion bold ideas that push us beyond incremental gains and toward breakthrough advances
Make things happen – Lead a high-performing, cross-functional team of applied scientists and ML engineers working across ML, RL, representation learning, planning, among many more. Work closely with the team manager to drive quarterly planning and execution of research-engineering initiatives, enabling rapid iteration and delivery in high-ambiguity environments. Translate ambiguity into action and ensure technical progress tracks with our mission
Champion change – Lead through ambiguity. Balance structure and adaptability to help your team navigate evolving priorities, novel research, and complex organisational change

New

Staff ML Validation Applied Scientist

As a Staff ML Validation Applied Scientist on the Software Validation team withi...

Location

United States , Sunnyvale

Salary:

218800.00 - 335300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

8+ years of experience and MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or a related field
Strong proficiency in Python and at least one systems language (e.g., C++), with experience building production systems over large datasets
Deep understanding of and experience evaluating modern ML for robotic systems
Hands-on experience using AI agents, LLM-based tools, or workflow orchestration to automate parts of the development, validation, or operations lifecycle
Demonstrated ability to design and implement behavioral and ML metrics and associated tooling for validation and regression detection of complex ML systems
Strong analytical skills and systems thinking
able to reason about complex AV behavior and ML model interactions and turn insights into code and tools
Effective communicator who can work across teams and provide technical leadership and mentorship to other engineers and researchers

Job Responsibility

Lead ML-centric validation strategy for deep learning components across perception, prediction, and planning in AV, defining evaluation methodologies with cross-functional partners
Build AI validation critics and agentic acceleration workflows using LLM- and model-based agents plus orchestration to automate scenario review, anomaly detection, and end-to-end validation flows
Prototype ML research into scalable tools by transforming ML research into performant tools integrated into CI/CD and large-scale pipelines, owning key behavior and ML validation services and data pipelines
Drive simulation-based ML evaluation at scale by evaluating deep learning modules in realistic sensor and traffic simulation and expanding behavioral and scenario coverage tightly linked to ML models
Provide cross-functional collaboration and leadership across Simulation, Safety, Systems Engineering, Autonomy, and tools teams through reviews, roadmapping, standards, and mentorship focused on high-quality, automation-first software

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

Staff Software Engineer

As a Staff Engineer at Pearl Health, you will serve as a technical architect and...

Location

United States , Seattle; New York City; Boston

Salary:

180000.00 - 240000.00 USD / Year

Pearl Health

Expiration Date

Until further notice

Requirements

8-12 years of experience in backend or full-stack software development, with a proven track record in service-oriented architectures and large data systems
Demonstrated architectural experience designing and implementing scalable, distributed systems, including microservices and event-driven architectures
A strong leadership track record in driving technical direction for significant, cross-functional projects
Cloud platform proficiency (preferably AWS), including hands-on experience with infrastructure design, deployment pipelines, and cost optimization
Deep expertise designing and optimizing data-intensive applications involving large-scale data movement, transformation, and presentation
Proven production operations experience in distributed systems, encompassing observability, monitoring, incident response, and operational excellence
Experience in aligning technical decisions with business objectives and clearly communicating complex trade-offs to technical and non-technical stakeholders

Job Responsibility

Drive system design and technical planning for projects, including large, complex, cross-functional initiatives
Partner on architectural decisions for critical systems, ensuring solutions are scalable, maintainable, and aligned with Pearl's long-term technical vision
Define and implement engineering standards, patterns, and best practices that improve scalability, reliability, and developer productivity across the organization
Partner to make strategic trade-offs between technical debt, feature delivery, and system reliability, clearly communicating the rationale and impact of these decisions
Design and build high-performance, distributed systems including data pipelines, APIs, and microservices that process healthcare data at scale
Architect intuitive, responsive web applications and internal tools that enable clinical and operations teams to deliver exceptional patient care
Ensure observability, monitoring, and operational excellence across distributed services, cloud infrastructure, and frontend applications
Apply deep expertise in both backend service design (RESTful and event-driven architectures) and modern frontend frameworks to deliver complete, production-ready solutions
Champion security best practices, data consistency patterns, and regulatory compliance (HIPAA, SOC2) across the entire application stack
Partner with product, operations, and design leadership to align engineering decisions with company priorities and healthcare outcomes

What we offer

discretionary performance bonus
equity options
competitive benefits package

Fulltime

Applied Scientist II

The AI and Data Sciences team in Microsoft 365 Security and Compliance organizat...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelors/Master’s degree with relevant course work toward Computer Science, Data Science, Statistics, Machine Learning, Data Mining, and equivalent work experience
3+ years of professional experience in a technical role building and deploying ML solutions at scale for real-world problems
Proficiency in using statistical/analysis/ML tools, defining, and implementing intelligent solutions on data
Skilled working with large data sets, using big data tools and scripting languages such as: Excel, SQL, Python, Matlab, R, C, and/or PowerBI
Excellent cross-group and interpersonal skills, with the ability to articulate solutions

Job Responsibility

Invent and build AI‑driven agents and systems that transform how we analyze entities, telemetry, and behavioral data—pushing the boundaries of modern social engineering threat detection and protection
Turn deep analysis into decisive action by generating insights that drive durable detection and prevention strategies across the full attack kill chain, exposing protection gaps and directly influencing product improvements
Operate with high autonomy and ownership, defining the right technical approach and designing, improving, or creating novel data science and ML models that deliver measurable impact to Microsoft products and services
Collaborate across research, engineering, and partner teams—both internal and external—to establish new partnerships and strengthen existing ones that accelerate product maturity and unlock richer insights
Communicate complex findings with clarity and impact, distilling results into compelling narratives through data visualizations, infographics, and written and verbal briefings for researchers, developers, and engineers

Fulltime

Design Engineer, Design Systems

We’re looking for a Design Engineer who thrives at the intersection of design, f...

Location

United Kingdom , London

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

An online portfolio demonstrating design-focused technical expertise across multiple projects
3-5 years of experience demonstrating exceptional design engineering fluency across modern product environments, including 1-2+ years contributing to design systems
Proficiency and design-focused passion in the front-end stack like Vue/React/Angular/etc, HTML, CSS, Design Tokens, and JavaScript/Typescript
Track record of designing, documenting, and evolving styles, Design Tokens, component libraries, UI patterns that scale product development
Interest or experience in the design and build of tooling, plugins, or internal utilities that streamline workflows between design and engineering teams
Experience building AI/ML-driven features, prototypes, experimental systems, or research tools, ideally leveraging frameworks like Model Context Protocol (MCP) or similar
Demonstrated skill in optimizing and refactoring existing UIs for performance, accessibility, and maintainability
Proficiency in state management and component-based architecture
A systemic approach, thinking in patterns and frameworks
Strong understanding of foundational UX principles, design heuristics, information architecture, usability, accessibility, and inclusive design practices

Job Responsibility

Play a key role in the front-end design strategy of our Design System – style, components, and patterns
Advocate for Design, being the bridge between design and engineering
Assist the design system team in maturing to take on large, high-visibility initiatives
Contribute and execute upon a growing design-focused prototyping practice that explores feasibility, evaluates emerging AI capabilities, and AI design patterns
Rapidly build functional prototypes that inform product direction
Design and build tooling that supports product designers, researchers, and engineers—such as internal utilities, plugins, and scripts that accelerate iteration and experimentation
Prototype and validate new interaction models for AI-powered workflows, experience integrating AI into prototypes, and experimenting with AI-driven UI patterns
Ensure quality and performance in everything you build with rigor, optimizing for accessibility, maintainability, and performance as first-class concerns in the design process
Act as a guardian of consistency, championing reusable components, ensuring designers and developers adhere to a unified system, and evolving Dialtone, our design system
Navigate defined problems with autonomy, helping cross-functional teams clarify ideas and move toward impactful solutions quickly and iteratively

What we offer

Competitive benefits and perks
Robust training program that helps you reach your full potential
Offices designed to be inclusive, offering a vibrant environment to cultivate collaboration and connection
Exceptional culture, recognized repeatedly as a certified Great Place to Work

Principal Applied Scientist

Join a team that’s redefining modern security research with AI-first, agentic sy...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree or higher in Statistics, Econometrics, Computer Science, Computer Engineering, or related field OR equivalent industry experience
10+ years of experience with data analysis involving statistical software tools, Big Data systems, Data Pipelines and Reporting
Should have experience in Python / C#
Experience with Azure/AWS/GCP (3+ years)

Job Responsibility

Invent and build AI‑driven agents and systems that transform how we analyze entities, telemetry, and behavioral data—pushing the boundaries of modern threat detection and protection
Turn deep analysis into decisive action by generating insights that drive durable detection and prevention strategies across the full attack kill chain, exposing protection gaps and directly influencing product improvements
Operate with high autonomy and ownership, defining the right technical approach and designing, improving, or creating novel data science and ML models that deliver measurable impact to Microsoft products and services
Collaborate across research, engineering, and partner teams—both internal and external—to establish new partnerships and strengthen existing ones that accelerate product maturity and unlock richer insights
Communicate complex findings with clarity and impact, distilling results into compelling narratives through data visualizations, infographics, and written and verbal briefings for researchers, developers, and engineers

Fulltime

Computer Vision Engineer

Location

India , Bengaluru

Salary:

Not provided

Larsen & Toubro

Expiration Date

August 12, 2026

Requirements

Bachelor’s degree in Robotics, Computer Science, Mechatronics or related field
Strong proficiency in modern C++ (14/17/20) and Python
Deep understanding of computer vision fundamentals (feature-based vision, geometric methods, multi-view geometry) and AI-based perception using PyTorch
Practical experience deploying and optimising perception models on embedded GPU platforms (Jetson Xavier/Orin or similar)
Hands-on expertise with Triton, TensorRT, mixed-precision inference, Numba-JIT, CUDA kernels, and real-time optimisation techniques
Strong command of ROS/ROS2, TF transforms, message passing, node graph architecture, and middleware integration patterns
Extensive experience with robotics sensor integration including RGB/stereo/depth cameras, LiDAR, radar, IMUs, and GPS—covering calibration (intrinsic/extrinsic), synchronization, timestamps, and data integrity
Knowledge of core autonomy concepts: mapping, costmap generation, scene representation, obstacle detection, and planner interfacing
Solid grounding in Linux systems, multithreading, memory optimisation, real-time constraints, and system-level debugging workflows
Experience with Docker, cross-compilation toolchains, embedded deployment pipelines, and CI/CD systems for robotics software

Job Responsibility

Design, implement, and maintain core autonomy modules that integrate sensing, perception, state estimation, mapping, and planner interfaces into a cohesive real-time system
Develop high-performance computer vision pipelines (classical + AI-based) for detection, segmentation, tracking, and scene understanding, ensuring reliable operation on embedded hardware
Build multimodal perception systems that fuse camera, LiDAR, radar, and IMU data into accurate, navigation-ready environment representations
Deploy, optimize, and maintain autonomy software on embedded platforms (Jetson AGX/Orin), including TensorRT optimisation, cross-compilation, CUDA acceleration, and performance tuning for real-time execution
Own sensor bring-up, configuration, calibration, and synchronization (camera, LiDAR, radar, IMU, GPS), ensuring accurate and stable data for downstream modules
Ensure system-level robustness and safety by maintaining strict latency budgets, deterministic behaviour, numerical stability, and fall-back mechanisms for degraded sensing conditions
Conduct field trials, capture datasets, analyse system performance, and drive iterative improvements across sensing, perception, fusion, and planning layers
Debug deep autonomy stack issues including timing mismatches, calibration drift, concurrency conflicts, synchronization faults, and hardware–software integration challenges
Build deployment-ready autonomy systems using ROS/ROS2, Docker, systemd services, and reproducible build pipelines tailored for embedded platforms
Collaborate with mechanical, electronics, and systems teams to align autonomy software capabilities with real-world hardware constraints and vehicle dynamics

Autonomy Engineer - Deep Learning Model Acceleration

Skydio

Location:
United States , San Mateo, California

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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