The role involves owning the ROS 2 system architecture, designing and implementing scalable ROS 2 packages, and collaborating closely with hardware engineers to develop production-ready robotic machines.
Location: New York, NY (in-person, with flexibility)
About Silana
Silana is building fully automated robotic sewing systems. Our technology combines robotics, machine vision, and industrial automation to transform how garments are manufactured. We’re a deep-tech company solving some of the hardest problems in robotics - handling deformable materials, real-time perception, and scalable automation.
We’re looking for a Senior Robotics Software Engineer who lives and breathes robotics, loves writing clean, robust code, and wants to architect the software backbone that powers production-ready robotic machines.
What You’ll Do- Own the ROS 2 system architecture across all subsystems (motion, vision, PLCs, and custom hardware).
- Design and implement scalable, modular ROS 2 packages with clean interfaces, launch files, and lifecycle management.
- Define and maintain integration between ROS 2, PLCs, and vision systems (e.g., OPC-UA, Modbus, custom drivers).
- Build the deployment layer: containerization, CI/CD pipelines, logging, monitoring, and automated bring-up.
- Select and configure industrial compute hardware (IPC/GPU, networking, storage) for reliable customer deployments.
- Write high-quality, testable C++/Python code that sets the standard for the team.
- Collaborate closely with hardware, controls, and vision engineers to bring up systems in the lab and at customer sites.
- Ensure every deployment is field-hardened, professional, and robust - no “demo code.”
- Deep ROS 2 expertise: nodes, DDS, rclcpp, ros2_control, lifecycle management, real-time pipelines and data transfer.
- Strong computer science fundamentals: algorithms, OS, distributed systems, concurrency.
- Proven experience in industrial robotics or high-reliability automation, ideally combining PLCs and ROS 2 through industrial control protocols.
- Solid Linux and DevOps skills (Git, VS Code, Docker, systemd, CI/CD, monitoring).
- Familiarity with computer vision pipelines and hardware acceleration (CUDA, OpenCV, GStreamer) is a plus.
- Strong hardware awareness: comfortable making choices about GPUs, IPCs, networking topologies, and reliability trade-offs.
- Execution-first mindset: delivers working systems.
- Thrives as an individual contributor - passionate about building, testing, and shipping.
- Build the core software architecture for the first robotic systems capable of fully automating garment production.
- Work on hard, unsolved problems in robotics with a team of top engineers.
- Be part of a fast-moving, high-ownership environment where your code ships directly into production machines.
- Shape how robotics software integrates with PLCs, vision, and industrial hardware at scale.
- Join a company backed by leading investors, with global partners in the fashion and manufacturing industries.
Top Skills
C++
Ci/Cd
Docker
Git
Gstreamer
Opencv
Python
Ros 2
Vs Code
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead and mentor a data science team delivering AI-driven insights and predictive analytics for enterprise-level business applications, ensuring strategies align with operational excellence.
Top Skills:
AWSAzureGCPPythonRSnowflakeSQLTableau
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The role involves engaging with management-level individuals to enhance security programs and assess cybersecurity maturity, while producing high-quality reports.
Top Skills:
Cybersecurity
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Principal AI Data Engineer is responsible for designing and operating AI-driven data platforms, focusing on Snowflake and LLM integrations, while leading technical initiatives and mentoring teams.
Top Skills:
AWSDbtGeminiGitlabGleanSalesforce AiSnowflakeTerraform
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
