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, 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 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

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

New

Senior Data Engineer

Join Crusoe Energy as a Senior Data Engineer, an early and pivotal hire on our g...

Location

United States , San Francisco

Salary:

Not provided

Crusoe

Expiration Date

Until further notice

Requirements

Strong Software Engineering Foundation: Demonstrate proficiency in Python and at least one systems-level language (Go preferred
Java, C, or C++ also valued), with the ability to write production-quality, maintainable code
Data Infrastructure Expertise: Possess deep experience designing and building data platforms, including data warehouses, data lakes, streaming systems, and ETL/ELT frameworks
Distributed Systems Knowledge: Show understanding of distributed computing principles, with experience building systems that scale reliably
SQL Mastery: Exhibit advanced SQL skills for data modeling, query optimization, and database design
Infrastructure-as-Code Mindset: Demonstrate familiarity with modern DevOps practices including CI/CD, containerization, and infrastructure automation
Ownership & Autonomy: As an early hire on the data engineering team, you'll be expected to drive projects from conception to production with minimal supervision
Collaboration Skills: Communicate effectively with technical and non-technical stakeholders to translate requirements into robust solutions

Job Responsibility

Architect Data Platform Infrastructure: Design and build scalable, reliable data infrastructure systems that serve as the foundation for analytics, machine learning, and operational intelligence across Crusoe
Build High-Performance Data Systems: Develop robust data processing frameworks and storage solutions optimized for the unique demands of AI infrastructure and cloud operations
Champion Data Quality & Reliability: Implement data validation, monitoring, and observability systems that ensure data integrity and platform reliability at scale
Collaborate Across Engineering Teams: Partner with software engineers, data scientists, and operations teams to understand requirements and deliver infrastructure that accelerates their work
Drive Technical Excellence: Establish best practices for data engineering, contribute to architectural decisions, and mentor team members as the team grows

What we offer

Industry competitive pay
Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement

Fulltime

New

Global Procurement Tail Spend Management Representative

Global Procurement Tail Spend Management representative will be responsible for ...

Location

Mexico , Guadalajara

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

First level university degree or equivalent experience
2+ years of experience in procurement or supply chain function
Understanding of procurement processes, industry, and suppliers
Basic analytical skills
Knowledge of business application tools (e.g., Microsoft Excel, Microsoft PowerPoint)
Strong communication skills, including presentation and negotiation abilities
Basic Project Management skills
Basic ability to develop suppliers
Strong teamwork and basic leadership skills
basic influencing skills

Job Responsibility

Lead the analysis of specific commodity data and industry trends or lead an individual supply chain sub-category
Participate as a member of a cross-functional team (may lead specific projects)
Meet with stakeholders to understand business priorities and translate them into procurement plans
Participate in supplier selection activities
Negotiate with suppliers
Engage with low-complexity suppliers to negotiate commercials and acceptable contracting outcomes using pre- packed solutions
Negotiate commercial and legal terms and conditions
Execute risk mitigation, business continuity, cost management, and operation strategies
Advise program level business representatives on fundamental contract risk areas
Monitor supplier performance

What we offer

A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

New

SOC Validation Engineer

We are looking for a dynamic, energetic SOC Validation Engineer to join our grow...

Location

United States , San Jose

Salary:

157600.00 - 236400.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Hands on experience in pre-silicon validation using FPGA-based prototyping and emulation platforms
Hands on experience in post silicon validation using characterization boards, customer boards
Programming/scripting skills (e.g., C, Perl, Python)
Knowledge of system architecture, technical debug, and validation strategies for ARM and X86 architectures
Experience with silicon and board bring up activities
Experience with board/platform-level debug, protocol level debug
Experience with common lab equipment, including protocol/logic analyzers, oscilloscopes, etc
Understanding of operating systems (Linux preferred)
Experience with version control systems (Git)
Experience in hardware validation or embedded systems

Job Responsibility

Driving technical innovation to improve AMD’s capabilities across SoC validation
Own the creation of comprehensive test plans and detailed test cases
Manage and execute the overall test plan
Systematically collect, analyze, and report failure data
Collaborate closely with the CFT teams to identify root causes
Ensure the test plan features are covered in both pre-silicon and post-silicon
Support post-silicon bring-up activities and system-level testing
Provide technical assistance in debugging critical issues
Working with multiple teams, and tracking test execution
Working closely with supporting technical teams

Fulltime

New

Bid manager

As a Bid Manager, you will play a critical role in overseeing the quality of sal...

Location

France , Courbevoie

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Excellent communication, interpersonal, and organizational skills with a sense of detail
Strong stakeholder management skills. Ability to work under pressure and meet tight deadlines
Strong ability to work in a fast-paced environment and handle multiple bids simultaneously
Ability to work and deal with complex business relationships and to partner with various stakeholders
Bachelor’s degree in business, marketing, or a related field
Minimum of 3 years of experience in Pre Sales, Bid or Project management, preferably in the fintech, financial software, or IT services sector
Proficiency with CRM software or sales management software (Salesforce…)
Good knowledge of the FinTech industry
Love to work in an international environment and willing to travel as required
Fluency in English is essential, with other local languages to the job geography advantageous

Job Responsibility

Drive the entire bid process on selected opportunity from qualification to closure
Organize and prepare required Governance Gates
Organize all required internal and external meetings
Develop and manage a bid project plan, outlining tasks, timelines, and responsibilities
Mobilize a Bid Team and coordinate work to produce required deliverables (Presentations, Proposals, RFx questionnaires, Contracts, …)
Review deliverables to ensure quality, consistency and compliance with client requirements, legal regulations, and SBS internal policies
Handover won deals to Delivery teams
Develop and execute bid strategies that align with SBS’s strategy and the prospects’ requirements
Support the contract negotiations and pricing discussions
Handle overall pricing allowing clear understanding of commercial options

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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