Mechanical Engineer, Robotics
📌CA, United States 🇺🇸
⏱︎ full-time
🧙♂️ mid-level
💰 90000
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Convoy team, a specialized group within the Robot Mechanical Engineering team, is working on developing a first-of-its-kind brain-controlled assistive robotic arm (ARA). Our focus is on developing high-dimensional neural control of hardware, specifically robotic arms and hands. We design and integrate robotics systems, work directly with our clinical trial participants, and collaborate cross-functionally with hardware, software, electrical, and BCI engineers. We believe this work may be one of the best and most advanced paths to giving physical independence back to users with unmet medical needs.
Job Description and Responsibilities:
As a Mechanical & Robotics Engineer at Neuralink, you will design and produce hardware solutions for our assistive robotic arm. Your responsibilities may also include working on our brain-computer interface devices, surgical robotics, automation, microfabrication, and more. You will have the opportunity to own projects from concept to production, leveraging your mechanical engineering background in the challenging field of brain interfaces and human-robot interaction. Your responsibilities will include:
- Designing and integrating robot mechanical and electrical components and assemblies with a heavy emphasis on usability and safety
- Collaborating with clinical trial participants, neuroscientists, biologists, and engineers to establish design criteria
- Rapidly and effectively building systems to meet project goals
- Applying analytical methods, including calculations and simulations, for the design and optimization of structures and mechanical components
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Actively driving every phase of device launch, from hands-on early feasibility prototyping through manufacturing release
- Bachelor's degree in one of the following disciplines or equivalent experience: Mechanical Engineering, Robotics, Mechatronics
- Strong understanding of engineering first principles
- Minimum of 3 years of mechanical engineering industry experience, including internships and project teams where you owned products from concept to production
-
Proficient in 3D CAD
- Experience with robotic systems such as robot arms, grippers, actuators, human-robot interaction
- Multidisciplinary experience in robotics software and control (e.g., Python, ROS, MATLAB, control theory)
- Electrical engineering proficiency (e.g., PCB design, wire harnessing, circuit design)
-
Proficiency with conventional machining and rapid prototyping technologies
At Neuralink, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training.
California Base Salary Range:
$90,000—$139,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity + 401(k) plan *Temporary Employees & Interns excluded
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
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.
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Employment
⏱︎ full-time
-
Experience
🧙♂️ mid-level
-
Salary
💰 90000
-
Skills
-
Industry
-
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