Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.
Role
As a Product Manager focused on Robotics Capabilities, you will be at the forefront of developing features for the robot itself—the core of the Intrinsic platform. Your work will help build the critical bridge between virtual software systems and real-world physical manipulation.
How your work moves the mission forward
- Robot Capability Vision & Roadmap: Translate the overall industrial robotics product vision into specific robot movement and interaction capabilities.
- Scalable Automation Solutions: Identify how advanced motion and grasping capabilities on the Intrinsic platform can address partner automation challenges.
- Collision-Free Motion Planning: Define requirements for executable and efficient robot paths in complex workcell environments.
- Process Path Planning: Specify robot movements and action sequences for task execution in collaboration with partners.
- Object Interaction & Manipulation: Define requirements for object identification, approach, and grasping—working closely with the Grasp Planning team.
-
Customer Advocacy: Champion partner-driven requirements within product and engineering teams to address real-world automation needs.
- Bachelor's degree in Engineering or relevant field.
- Proven experience designing, building, or delivering industrial robotic automation solutions.
- Demonstrated success defining product vision, roadmaps, and translating customer needs into technical requirements.
- Proven ability to work closely with specialized engineering teams (e.g., real-time control, motion planning).
- Excellent written and verbal skills to articulate vision and explain complex solutions.
-
Strong analytical mindset with the ability to break down complex automation challenges and drive effective solutions.
- Industrial Robotics & Manufacturing Expertise: Deep understanding of production processes and automation systems.
- Robot Capability Definition: Experience defining features related to collision-free motion, process path planning, and object manipulation.
- Technical Fluency in Robotics: Familiarity with motion planning, sensor-based control, and robotic grasping.
- Platform Thinking: Ability to design reusable, scalable automation solutions that leverage a shared platform.
-
Partner & Customer Engagement: Skilled in working with external stakeholders to uncover pain points and co-develop robotic solutions.
Salary Range
$176,800—$221,000 USD
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
Other similar jobs
GPU SW Engineer
@ Huawei Technologies Research & Development (UK) Ltd, 📍Canada 🇨🇦
Alternance - Ingénieure/Ingénieur "Edge Computing"
@ EDF, 📍Canada 🇨🇦
SOC Engineer
@ Hitachi Digital, 📍Canada 🇨🇦
Embedded Cyber Security Engineer
@ AeroVironment, 📍Canada 🇨🇦
Embedded Controls Engineer
@ Actalent, 📍Canada 🇨🇦
Embedded Systems Engineer
@ Allied OneSource, 📍Canada 🇨🇦
Embedded RTOS Lead Engineer
@ Carrier, 📍Canada 🇨🇦
Embedded RTOS Engineer
@ Carrier, 📍Canada 🇨🇦
Embedded Engr I
@ Honeywell, 📍Canada 🇨🇦
Technical Lead Engineer, Embedded Systems
@ Lam Research, 📍Canada 🇨🇦
-
Employment
⏱︎ full-time
-
Experience
🧙♂️ mid-level
-
Salary
💰 176800
-
Skills
-
Industry
-
Find similar jobs
GPU SW Engineer
@ Huawei Technologies Research & Development (UK) Ltd, 📍Canada 🇨🇦
Alternance - Ingénieure/Ingénieur "Edge Computing"
@ EDF, 📍Canada 🇨🇦
SOC Engineer
@ Hitachi Digital, 📍Canada 🇨🇦
Embedded Cyber Security Engineer
@ AeroVironment, 📍Canada 🇨🇦
Embedded Controls Engineer
@ Actalent, 📍Canada 🇨🇦
Embedded Systems Engineer
@ Allied OneSource, 📍Canada 🇨🇦
Embedded RTOS Lead Engineer
@ Carrier, 📍Canada 🇨🇦
Embedded RTOS Engineer
@ Carrier, 📍Canada 🇨🇦
Embedded Engr I
@ Honeywell, 📍Canada 🇨🇦
Technical Lead Engineer, Embedded Systems
@ Lam Research, 📍Canada 🇨🇦