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Python Robotics Jobs in Buffalo, NY (NOW HIRING)

At least one (1) year of work-related experience in a relevant field (Robotics, PLC, Machining ... Basic experience with programming languages or scripting (e.g., JavaScript, Python, or similar)

Python Robotics information

See Buffalo, NY salary details

$12

$56

$83

How much do python robotics jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for python robotics in Buffalo, NY is $56.78, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.52 per hour, depending on experience, location, and employer.

Is C++ or Python better for robotics?

For robotics roles, C++ is often preferred for real-time performance and low-level hardware control, while Python is valued for rapid development, scripting, and ease of use. Many robotics projects use both languages together, leveraging Python for high-level logic and C++ for performance-critical components.

What is the highest paying job in Python?

The highest paying jobs in Python often include roles such as Machine Learning Engineer, Data Scientist, or AI Engineer, especially in industries like finance, technology, and healthcare. These positions typically require advanced skills in Python, data analysis, and machine learning frameworks, and can offer salaries exceeding $150,000 annually depending on experience and location.

What are Python Robotics jobs?

Python Robotics jobs involve designing, developing, and programming robotic systems using the Python programming language. Professionals in this field use Python to control robots, process sensor data, automate tasks, and integrate with hardware and software systems. These roles may be found in industries like manufacturing, healthcare, research, and autonomous vehicles. Typical responsibilities include writing code for robotic behavior, working with frameworks like ROS (Robot Operating System), and collaborating with engineers to build intelligent machines.

What is the highest paying job in robotics?

In robotics, senior roles such as Robotics Engineering Manager or Director of Robotics typically have the highest salaries, often exceeding $150,000 annually. These positions require advanced skills in programming, systems integration, and leadership, and often involve overseeing complex projects and teams.

How do Python Robotics engineers typically collaborate with interdisciplinary teams during a project?

Python Robotics engineers often work closely with mechanical, electrical, and systems engineers to develop and integrate robotic solutions. They are responsible for writing and testing control algorithms in Python, as well as interfacing with hardware and simulation tools. Regular communication and joint problem-solving sessions are common, ensuring that software aligns with hardware capabilities and project requirements. This collaborative environment helps deliver robust, efficient robotic systems and offers exposure to various engineering domains.

Is Python useful for robotics?

Python is widely used in robotics for tasks such as control, simulation, and data processing due to its simplicity and extensive libraries like ROS (Robot Operating System). It is often combined with C++ for performance-critical components and is a valuable skill for robotics engineers and developers working on automation and AI integration.

What is the difference between Python Robotics vs Robotics Software Engineer?

AspectPython RoboticsRobotics Software Engineer
Required CredentialsPython programming skills, robotics knowledge, possibly certifications in Python or roboticsProficiency in robotics software, programming skills (Python, C++), engineering degree often preferred
Work EnvironmentResearch labs, robotics companies, startups, often hands-on with hardware and softwareDevelopment teams, engineering departments, focus on software development for robotic systems
Industry UsageUsed in robotics research, automation projects, and hobbyist communitiesApplied in industrial automation, autonomous vehicles, and advanced robotics projects

Python Robotics typically refers to using Python programming in robotics applications, often in research or hobbyist settings. Robotics Software Engineers focus on developing and maintaining complex software systems for robotic hardware in professional environments. While both roles require programming skills and robotics knowledge, Python Robotics emphasizes scripting and experimentation, whereas Robotics Software Engineers work on scalable, production-level software solutions.

What are the key skills and qualifications needed to thrive as a Python Robotics Engineer, and why are they important?

To thrive as a Python Robotics Engineer, you need strong programming skills in Python, a solid understanding of robotics concepts, and often a degree in robotics, computer science, or engineering. Familiarity with robotics frameworks like ROS (Robot Operating System), simulation tools such as Gazebo, and experience with hardware integration are commonly required. Problem-solving, adaptability, and effective teamwork are essential soft skills that help address complex technical challenges and collaborate with interdisciplinary teams. These competencies enable the design, implementation, and optimization of robust robotic systems in a rapidly evolving field.
What cities near Buffalo, NY are hiring for Python Robotics jobs? Cities near Buffalo, NY with the most Python Robotics job openings:
Edge Inference Developer Tooling Founder

Edge Inference Developer Tooling Founder

Forum Ventures LLC

Boston, NY โ€ข On-site, Remote

$250K/yr

Full-time

Posted 5 days ago


Job description

Edge AI is a production requirement across automotive, robotics, and industrial verticals, but the infrastructure underneath it doesn't exist. Every team deploying models on edge devices rebuilds memory management, platform abstraction, and monitoring logic from scratch. The hardware is fragmenting across dozens of chipsets and runtimes. No single vendor's tools cover the stack. The developer experience is years behind what cloud teams take for granted.
The opportunity: Build the software and tooling layer that makes edge hardware usable - frameworks that abstract across platforms, memory managers that optimize dynamically, observability stacks that surface what's happening inside a deployed model running on a sensor or a vehicle. Start with the highest-cost-of-failure verticals (autonomous vehicles, industrial robotics), then expand into the full edge AI developer stack.
A few examples:
Edge Observability and Developer Tools
Teams deploying models at the edge have no visibility into what those models are doing in the field. Inference latency, memory pressure, thermal headroom: none of it is legible. When a model degrades, debugging is manual and slow.
Memory Management and Testing for Edge Deployments
Edge devices operate in conditions data center memory was never designed for: temperature extremes, vibration, extended duty cycles. Memory allocation across a fleet is static and manual. Performance degradation goes undetected until failure.
Hardware-Agnostic Frameworks
A model that runs on one edge chipset requires substantial rework to run on another. There is no universal SDK, no abstraction layer that makes inference logic portable. Vendor lock-in is the default, not a choice.
Memory Architectures and Processing-in-Memory
For vision processing, sensor fusion, and real-time control, the cost of moving data between memory and compute is measured in power, latency, and heat. Data center DRAM was not designed for these tradeoffs. Application-specific memory systems for edge workloads don't yet exist at scale.
We're looking for Founders to leverage their domain expertise, and care deeply about the developer experience.
You've shipped inference at the edge and hit the wall on memory, latency, or platform lock-in. You've debugged a model that ran fine in the cloud and failed on the device. You know the gap isn't the model. It's the infrastructure underneath it.
are convinced AI can deliver the outcomes better than humans to build full-stack, AI Native services in industries where outcomes depend on expertise, regulation, and trust.
While we're actively building out these ideas, Forum Ventures is always open to hearing from founders with bold, original ideas. If you're working on an early-stage B2B SaaS company, even at the idea stage, pitch us still.
Your Partners in Co-Creation:
Forum's AI Studio brings together ambitious people, brilliant ideas, and capital to build the best B2B SaaS businesses in the world, from 0 to 1. In addition to capital and an idea, we provide founders with access to investor networks, fundraising support, and the resources needed to build transformational companies. We've launched 17 companies since 2023, and we're launching 7 more in 2026. We're designed to help Founders move faster, develop better insights, and build companies that have a higher success rate than startups built in any other way.
Forum derisks and accelerates the Founder path by:
  • A $250K USD investment, and an end-to-end fundraising playbook and network to raise your seed and Series A
  • A validation partner with proven playbooks, networks, and the systems to validate, unlock your ICP, ignite your sales pipeline, and beyond
  • The support of our experienced operating team - from business design, product development, growth, recruitment, legal and more
  • Executing a winning GTM strategy to get to $50-100K ARR, and the right MVP to ensure early traction
  • A community full of mentors, peers, and leaders
  • $100K worth of business perks

About you:
  • Early-stage operator experience, and expertise in the problem space you're building in.
  • The ability to attract, hire and lead world-class teams
  • A demonstrated passion for technology's ability to change the world
  • A desire to be a venture-backed founder
  • Canada or US-based, and the ability to collaborate in North American time zones.

Please note, this is not an employment opportunity with Forum Ventures. If you are currently fundraising your pre-seed or Seed round, please pitch our investment team instead here.