Robotics Computer Vision

Robotics Computer Vision Developer Jobs

25 jobs found

Today

Full Stack Data Engineer

Pivotal Palo Alto, CA

Palo Alto, CA

Today

Full time Backend Developer Python Analytics

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Job Description

Pivotal is seeking a Full Stack Data Engineer to develop internal applications that help engineering teams explore, interpret, and act on flight data. The work spans backend services, web front ends, dashboards and AI-assisted tooling, self-serve analysis, and packaging tools for engineers to run locally.

What You’ll Do

Build and maintain internal web applications engineers use to work with flight data, including flight record browsers, query interfaces, and analysis tools over the data warehouse.
Develop Python services and HTTP APIs that query AWS Athena and Amazon S3, delivering results at interactive speed with pagination and caching for large result sets.
Create interfaces that allow engineers to explore large telemetry datasets without writing SQL, including sortable tables, filters, and time-series plots.
Build agent-based tooling that helps engineers ask questions in plain language and trace symptoms to root causes without hand-writing queries, returning not only the answer but also the underlying data and derivation so results can be verified.
Convert recurring one-off analyses from firmware, GNC, battery, and maintenance teams into supported, self-serve tools.
Generate an internal field guide and data catalog from the warehouse itself, keeping documentation aligned to actual table contents, and maintain the metadata in machine-readable form for correct interpretation by tooling and agents.
Create review and triage views for fleet health alerts, including acknowledgment, history, and trend views, alongside existing dashboards and Slack notifications.
Package and distribute analysis tooling so it runs on an engineer laptop, including Windows, without requiring guided environment setup.
Take work through deployment with tests, code review, CI/CD, and monitoring to identify failures.
Partner with engineering teams to define what they need, and document what is shipped for ongoing support.

Required Qualifications

2+ years of professional experience building and shipping web applications, with capability from backend through front end.
Bachelor’s degree in Computer Science or a related technical discipline, or equivalent practical experience.
Proficiency in Python, and comfort writing SQL against a real database.
Experience with a modern JavaScript or TypeScript front-end framework (React, Vue, or similar).
Experience building and consuming HTTP APIs, including authentication, pagination, and error handling.
Comfort with Git-based workflows, code review, and CI/CD.
Ability to work with non-software engineers to clarify requirements and ship the solution, since many requirements come from conversation rather than a fixed specification.

Technologies

Python, SQL, JavaScript, TypeScript
React, Vue
HTTP APIs
AWS Athena, Amazon S3
Git-based workflows, CI/CD
Windows, Slack notifications

Preferred Qualifications

AWS experience, particularly S3, Athena, Lambda, or API Gateway.
Experience working with large or time-series datasets and knowledge of keeping a UI responsive over millions of rows.
Charting and data visualization libraries, including Grafana dashboard development.
Docker, and infrastructure as code with Terraform.
Experience building with LLM APIs or agent frameworks, including tool use, retrieval over structured data, and evaluating output trust.
Experience building internal tools where users are colleagues rather than external customers.

Additional Familiarity

Aerospace, automotive, or robotics telemetry, including flight or vehicle test data.
Packaging desktop or command-line tooling for non-developer users, including on Windows.
Authentication and access control for internal applications (SSO, IAM, scoped credentials).
Regulated or safety-critical environments with traceability and data retention requirements.
Natural-language or conversational interfaces over structured, time-series, or diagnostic data.
Interest in RC planes, quadcopters, or aviation.

Benefits

Comprehensive benefits package, including medical, dental, vision, and 401k plans.

Role Location and Eligibility

Location: Palo Alto, CA (onsite)
Employment eligibility: Applicants must be eligible for employment in the United States and willing to work onsite at the HQ office in Palo Alto, CA.

AI in the Hiring Process

Pivotal may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals.
AI tools assist the recruitment team but do not replace human judgment.
Final hiring decisions are made by humans.

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23d ago

Software Engineer, Robotics & Integration

Eyesatop Mahwah, NJ

Mahwah, NJ

23d ago

$180k - $220k/yr Full time Android APIs Drones

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Job Description

This role focuses on integrating drones, sensors, payloads, and third-party technologies into the eyesAtop multi-drone warfare platform.

Responsibilities

Integrate robotic platforms, payloads, sensors, and external software into the eyesAtop platform
Write production-quality code across Java (backend services), C++ (MAVLink and flight controller integration), and Python (scripting and tooling)
Build and maintain the Android control application, the operator interface for commanding drone fleets in the field
Integrate flight controllers and drone subsystems using MAVLink and PX4, bridging low-level hardware behavior to operator-facing software
Debug across software, networking, devices, APIs, field behavior, and operator workflows
Test in simulation, lab, and field environments
Collaborate directly with vendors, pilots, hardware engineers, and product teams
Own integrations end to end, from first connection through deployed capability

Requirements

M.Sc. in Computer Science, Electrical Engineering, Robotics, or Aerospace Engineering (or equivalent hands-on experience with robotics, autonomous systems, drones, or embedded platforms)
3+ years of software development experience with strong skills in Java, C++, Python, or similar languages
Experience with Linux, networking, APIs, serial protocols, devices, or distributed systems
Familiarity with real-time systems, control loops, or embedded platforms
Comfort working close to hardware, even without a dedicated hardware engineering background

Technologies

Java, C++, Python
Android
MAVLink, PX4
Linux
STM32, ESP32, Jetson
Serial protocols

Location

Mahwah, NJ (onsite)
New York Metropolitan Area

Compensation

USD 180,000 - 220,000 per year

Benefits

Dental insurance
Health insurance
Paid time off
Vision insurance

Strong Fit If

Familiar with drone flight stacks (PX4, ArduPilot, Betaflight, or similar) and MAVLink-based communication
Experience with drones, robotics, embedded systems, autonomy, defense, or field-tested systems
Hands-on work with embedded platforms such as STM32, ESP32, Jetson, or similar
Led technical work or owned complex integrations end to end

Application Question

Describe a robotics or UAS integration you personally owned from the first hardware or protocol connection through field deployment. What systems were involved, what code did you write, and what was your specific responsibility?

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30d ago

Senior Data Engineer - Robotics

Motion Recruitment Wilmington, MA

Wilmington, MA

30d ago

Full time Senior Analytics Apache Airflow

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Job Description

Senior Data Engineer (Robotics) role is onsite in Wilmington, MA with Motion Recruitment. You will build and scale data platforms that help power robotic operations, fleet management, analytics, machine learning, and customer reporting. This is a hands-on position focused on telemetry and streaming at scale, with an emphasis on data quality, reliability, accessibility, and performance.

What you’ll build and improve

100% hands on design and development of scalable pipelines ingesting telemetry from robotic fleets
Real-time and batch processing workflows for robotic system data, supporting operational visibility and downstream analytics
Data solutions for analytics, reporting, and machine learning initiatives
Data models optimized for operational and business intelligence use cases
Monitoring and troubleshooting of pipeline performance, including data quality issues
Support customer-facing analytics and operational reporting solutions
Implementation of data governance, validation, and monitoring processes
Optimization of storage, processing, and retrieval for large-scale operational datasets
Contribute to architectural decisions for cloud-native data platforms and services
Partner with robotics and software engineering teams to improve data collection and accessibility

Core requirements

Strong proficiency in Python and SQL
Experience building and maintaining large-scale data pipelines
Cloud-based data platform experience, with AWS preferred
Knowledge of ETL and ELT frameworks
Experience with data warehousing technologies
Experience processing large volumes of event-driven or streaming data
Knowledge of distributed data systems and scalable architectures
Experience with Spark, Kafka, Airflow, or similar technologies
Strong understanding of data modeling and database design
Software engineering best practices including testing and version control

Technologies you’ll work with

Python, SQL, AWS
ETL, ELT
Spark, Kafka, Airflow
Data warehousing technologies

Compensation and benefits

Bonus OR Commission eligible
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) (including match, if applicable)

Experience and background

5+ years of Data Engineering experience
Experience with IoT, robotics, sensor, or telemetry datasets
Experience supporting machine learning or analytics teams
Familiarity with real-time data processing architectures
Knowledge of warehouse automation, logistics, or supply chain technologies
Experience with Databricks or modern cloud analytics platforms
Bachelor’s degree in Computer Science, Data Engineering, Engineering, or related field
Experience working in a fast-paced startup or high-growth environment

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1mo ago

Senior Forward Deployed Software Engineer

Saronic Technologies Austin, TX

Austin, TX

1mo ago Closed

Full time Senior Automation Autonomous Systems

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Senior Forward Deployed Software Engineer role focused on deploying, integrating, and improving autonomous systems in real-world maritime environments.

Responsibilities

Lead design, development, and optimization of software for autonomy, networking, and mission execution, emphasizing robust performance in dynamic maritime conditions
Drive field testing and deployment strategies, validating autonomy, perception, and control systems under operational conditions and proactively identifying systemic issues
Own analysis of mission-critical performance data, turning operational insights into software changes that improve behavior, reliability, and responsiveness
Architect and integrate new autonomy capabilities, ensuring compatibility across software, sensors, and vessel hardware with a modular, scalable design
Partner with operators, mission planners, and end-users, converting feedback into actionable requirements and guiding evolution of the autonomy stack
Lead incident response and root cause analysis across software, hardware, and networking layers, then implement durable fixes that improve system resilience
Mentor and collaborate with cross-functional teams, aligning autonomy engineering with product and mission goals and improving engineering practices
Establish and maintain technical standards, authoring deployment protocols, diagnostic tools, and documentation to support scaling across operational fleets

Requirements

5+ years experience developing autonomy or robotics systems, with strong software engineering foundations
Strong programming skills in C++, Rust, Python, or similar languages, with experience in performance-critical systems
Deep background in robotics, autonomy, or embedded systems, especially in maritime, aerospace, or defense contexts
Working knowledge of networking protocols and distributed systems, including TCP/IP, UDP, DDS, and message-passing frameworks such as ROS and ZeroMQ
Hands-on experience integrating perception sensors including cameras, radar, GPS, and IMUs, with emphasis on real-time sensor fusion
Proven ability to debug and resolve complex, cross-disciplinary problems across software, hardware, networking, and autonomy behavior
Experience adapting autonomy to real-world constraints such as variable environments, limited communications, and platform-specific limitations
Willingness and capability to lead field deployments (up to 50%), with a track record of testing and refining autonomy in operational maritime or expeditionary settings
Expertise in motion planning, control systems, and behavior architectures, including behavior trees and adaptive navigation algorithms
Domain knowledge in maritime systems, naval operations, or defense technology with awareness of mission-critical operational needs
Familiarity with distributed autonomy and multi-agent coordination, including decentralized planning and task-sharing in communication-limited settings
Leadership in system integration, testing, and operationalization, coordinating with engineering, product, and field teams to deliver deployable systems

Technologies

C++, Rust, Python
TCP/IP, UDP, DDS
ROS, ZeroMQ
Cameras, radar, GPS, IMUs
Behavior trees

Benefits

Medical Insurance
Dental and Vision Insurance
Saronic pays 100% of the premium for employees and 80% for dependents
Generous PTO and Holidays
Paid maternity and paternity leave
Competitive Salary with opportunities for performance-based bonuses
401(k) plan
Equity options (Stock Options)
Basic life insurance and short- and long-term disability coverage
Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands

Prolonged periods of sitting at a desk and working on a computer
Occasional standing and walking within the office
Manual dexterity to operate a computer keyboard, mouse, and other office equipment
Visual acuity to read screens, documents, and reports
Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)

Saronic CCPA Notice for Candidates and California Employees

If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status
Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits
We are also committed to providing reasonable accommodations for qualified individuals with disabilities

Location: Austin, TX (onsite) | Experience: 5+ years

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1mo ago

Senior Forward Deployed Software Engineer

Saronic Technologies Arlington, VA

Arlington, VA

1mo ago Closed

Full time Senior Autonomous Systems Deployed

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Saronic Technologies is building autonomy for real-world maritime operations, where software, networking, and sensing must work reliably in dynamic environments. In this Senior Forward Deployed Software Engineer role in Arlington, VA (onsite), you will help integrate, deploy, and continuously improve autonomous service vessels through hands-on field testing, debugging, and performance optimization grounded in operational data.

What you’ll do

Lead the design, development, and optimization of advanced autonomy, networking, and mission execution software with a focus on robust performance in maritime conditions
Drive field testing and deployment strategies, validating autonomy, perception, and control systems under operational conditions while proactively identifying systemic issues
Own analysis of mission-critical performance data and turn operational insights into software improvements that increase reliability and responsiveness
Architect and integrate new autonomy capabilities, ensuring compatibility across software, sensors, and vessel hardware using a modular and scalable design approach
Collaborate directly with operators, mission planners, and end-users to translate feedback into actionable requirements and guide evolution of the autonomy stack
Lead incident response and root cause analysis across software, hardware, and networking layers, then implement durable fixes to strengthen system resilience
Mentor and work with cross-functional teams to align autonomy development with product and mission goals, improving engineering practices across the organization
Establish and maintain technical standards, including deployment protocols, diagnostic tools, and documentation to support scaling autonomy systems in operational fleets

What you bring

5+ years of experience developing autonomy or robotics systems, with a strong software engineering foundation
Strong programming skills in C++, Rust, Python, or similar languages, including experience building performance-critical systems
Deep technical background in robotics, autonomy, or embedded systems, especially within maritime, aerospace, or defense contexts
Solid understanding of networking protocols and distributed systems, including TCP/IP, UDP, DDS, and message-passing frameworks such as ROS and ZeroMQ
Hands-on experience integrating perception sensors including cameras, radar, GPS, and IMUs with emphasis on real-time sensor fusion
Ability to debug and resolve complex cross-disciplinary issues spanning software, hardware, networking, and autonomy behavior
Experience adapting autonomy systems to real-world constraints such as variable environments, limited communications, and platform-specific limitations
Willingness and capability to lead field deployments (up to 50%), with experience testing and refining autonomous systems in operational maritime or expeditionary contexts
Expertise in motion planning, control systems, and behavior architectures, including behavior trees and adaptive navigation algorithms
Domain knowledge in maritime systems, naval operations, or defense technology, with understanding of mission-critical operational needs
Familiarity with distributed autonomy and multi-agent coordination, including decentralized planning and task-sharing under communication-limited settings
Experience delivering robust, deployable systems through system integration, testing, and operationalization across engineering, product, and field teams

Technologies you’ll work with

C++, Rust, Python
TCP/IP, UDP, DDS, ROS, ZeroMQ
cameras, radar, GPS, IMUs, behavior trees

Benefits

Medical Insurance
Dental and Vision Insurance
Saronic pays 100% of the premium for employees and 80% for dependents
Generous PTO and Holidays
Paid maternity and paternity leave
Competitive Salary
401(k) plan
Equity options
Basic life insurance and short- and long-term disability coverage
Free lunch benefit and unlimited free drinks and snacks in the office

Physical demands

Prolonged periods of sitting at a desk and working on a computer
Occasional standing and walking within the office
Manual dexterity to operate a computer keyboard, mouse, and other office equipment
Visual acuity to read screens, documents, and reports
Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
Lifting and carrying items up to 20 pounds occasionally (for example, office supplies, packages)

SARONIC CCPA NOTICE FOR CANDIDATES AND CALIFORNIA EMPLOYEES:

If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status.
Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
We are also committed to providing reasonable accommodations for qualified individuals with disabilities.

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1mo ago

Autonomy Test and Evaluation Tools Software Engineer

Johns Hopkins Applied Physics Laboratory (APL) Laurel, MD

Laurel, MD

1mo ago Closed

$100k - $245k/yr Full time Autonomous Systems Data Analysis Engineering

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

Johns Hopkins Applied Physics Laboratory (APL) is seeking an Autonomy Test and Evaluation Tools Software Engineer to help build simulation-based test and evaluation software for autonomous maritime platforms. This role focuses on creating high-fidelity simulation environments, verifying and validating autonomy decision-making, and connecting real-world field data with analysis in an agile prototyping workflow.

What you’ll do

Build end-to-end software tools for simulation-based test and evaluation (T&T&E), spanning requirements definition, architecture, implementation, and validation.
Design and develop high-fidelity simulation environments to assess autonomy algorithms under both nominal and off-nominal conditions.
Create approaches for verification and validation of decision-making systems, including coverage for edge cases and emergent behaviors.
Use data science, statistics, and machine learning techniques to evaluate system performance and develop new evaluation methods.
Plan and support field experiments, integrating real-world data with simulation-based analysis.
Work with multidisciplinary teams in an agile, rapid prototyping environment.

Basic qualifications

BS in Software Engineering, Computer Science, or a related technical field such as Robotics, Physics, or Mathematics.
5+ years of professional experience in software development using Python and/or C++.
Experience with full-lifecycle software development.
Experience or interest in autonomous systems, robotics, simulation, or test and evaluation.
Experience developing or working with simulation environments or modeling and simulation (M&S) tools.
Strong organizational and planning skills, including a track record of contributing effectively in team settings.
Ability to communicate clearly in both written and verbal formats.
Ability to obtain an interim Secret-level security clearance by your start date and ultimately obtain a Top Secret clearance.

Technologies you may work with

Python, C++, ROS, Gazebo, Unity

Compensation and location

Location: Laurel, MD (onsite)
Salary range: USD 100,000 - 245,000 per year
Annual salary note: Annual salary will be prorated based on the number of hours worked for salaried employees scheduled to work less than 40 hours per week.

Benefits

Comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development.
Robust education assistance program.
Unparalleled retirement contributions.
Healthy work/life balance.
Sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance.

Considered a plus

MS or PhD in Software Engineering, Computer Science, Robotics, or a related technical field.
Experience developing or evaluating autonomous systems, including decision-making, planning, or behavior-based autonomy.
Experience in simulation-based test and evaluation or M&S environments.
Experience with verification and validation (V&V) of complex or safety-critical systems.
Experience developing machine learning approaches such as reinforcement learning, imitation learning, or online/offline learning.
Experience integrating autonomy software into simulation frameworks (e.g., ROS, Gazebo, Unity, or similar environments).
Experience supporting or leading field testing of autonomous systems.
Active Top Secret security clearance.

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1mo ago

Machine Learning Engineer

DeepMotion San Francisco Bay Area, CA

San Francisco Bay Area, CA

1mo ago Closed

Full time Artificial Intelligence Automation Cloud

This position is no longer accepting applications (closed Sep 5, 2026).

Job Description

DeepMotion is seeking a Machine Learning Engineer to develop the server-side capabilities that enable interactive AI-based motion capture and motion synthesis. The position centers on machine learning model development and deployment, along with inference framework engineering for a cloud-based animation creation platform.

Responsibilities

Develop and train algorithms and models that power the motion perception and motion generation engine
Design, build, and manage large-scale text, video, and motion datasets used to train multi-model motion perception and generation systems
Develop, deploy, and optimize inference frameworks for motion perception and generation running in the cloud
Research, analyze, develop, and test machine learning components that support business strategies and the product roadmap

Requirements

BS or MS required in Computer Science, Engineering, or a closely related field, with specialization in computer vision, machine learning, robotics, or artificial intelligence
Solid knowledge of at least one machine learning research framework, for example PyTorch or Tensorflow
Solid knowledge of at least one high-performance inference framework, for example TensorRT or Apache TVM
Experience profiling and optimizing deep neural networks, including familiarity with GPU profiling tools such as NVIDIA Nsight

Location

San Francisco Bay Area, CA (onsite)

Technologies

PyTorch, Tensorflow
TensorRT, Apache TVM
NVIDIA Nsight
OpenCV, PyAV
Kubernetes
AWS, GCP, Azure
Python

Nice to Have

Familiarity with Python-based image and video manipulation, including encoding and decoding frameworks such as OpenCV and PyAV
Experience with cloud orchestration systems such as Kubernetes and cloud providers such as AWS, GCP, and Azure
Knowledge of transformers, diffusion models, and multimodal discriminative and generative models
Ability to write robust and maintainable client-server architectures and APIs