Machine Learning Engineer, Robotics
📌Santa Clara, United States 🇺🇸
⏱︎ full-time
🧙♂️ mid-level
💰 148909
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
With this mission, we are looking for passionated machine learning engineers of all levels who will develop robotics technology together with us to shape the new future of humanoid robots. You will work on a lean team without boundaries. Your influence will be on every single product that is shipped, without boundaries as well.
Job Responsibilities:
- Develop and maintain machine learning models (e.g. VLM, VLA, RL, etc.) training and deployment pipelines that could scale to massive production.
- Work on efficient foundation models (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in humanoid robots.
- Work on efficient and effective ways to generate/leverage large scale dataset and computational resource.
- Explore novel ways to generate synthetic data to improve the data diversity & quality.
- Communicate and align with different teams on product needs across the company.
Minimum Qualification:
- Strong python programming skills & software development, and strong experience with any major deep learning framework.
- Solid background in machine learning, natural language processing, computer vision, speech or data science.
- Open-minded, collaborative & humble personality.
Preferred Qualification:
- Deep understanding of multimodal LLM modern architectures, "under the hood" LLM training knowledge, quantization techniques, etc.
- Record of publications, innovations or leadership.
What do we provide:
- A fun, supportive and engaging environment
- Opportunities to make a significant impact on the future of transportation and robotics
- Opportunity to work on cutting edge technologies with the top talent in the field
- Competitive compensation package & benefits
- Snacks, lunches, and fun activities
The base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.
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
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Experience
🧙♂️ mid-level
-
Salary
💰 148909
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Skills
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Industry
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