ML Engineer, II - Lidar/Radar
📌Ann Arbor, United States 🇺🇸
⏱︎ full-time
🧙♂️ mid-level
💰 153200
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
Torc's Autonomy Applications software utilizes cutting-edge deep learning techniques to perceive the vehicle's environment, predict the movements of other vehicles, and execute accurate driving decisions. We are seeking an experienced senior machine learning engineer to join our Lidar / Radar Branch team within the Feature Development department. This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by leveraging AI.
What you'll do:
- Optimize lidar and radar-based ML models
- Collaborating with model development team to align on model interfaces and to ensure seamless integration.
- Fine-tuning and benchmarking of models
- Utilizing data science techniques to analyze model performance, data distributions, and identify corner cases.
- Model Conversion, Deployment and Target Hardware Optimization
- Development of the model specific conversion, deployment and integration pipeline
- Deploy machine learning models on edge devices, ensuring real-time performance and resource efficiency.
- Optimize inference pipelines for embedded and automotive-grade hardware platforms.
- Cross-functional Collaboration
- Collaborate with autonomy, software, and hardware engineering teams to ensure seamless integration of perception systems.
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Work with product and operations teams to define performance metrics and improve system reliability.
- Bachelor's degree in computer science, data science, artificial intelligence or related field with 4-6+ years of professional experience or a master's degree with 2-4+ years of experience
- Deep Understanding of machine learning for lidar or radar-based object detection and classification
- Good understanding of Python and one or more machine learning frameworks like PyTorch or Ray
- Good understanding of C++
- Track record of successfully building and shipping products containing ML models
- Strong technical communication skills, written and verbal, that scale to a diverse workforce
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Strong problem-solving skills and the ability to analyze and debug complex software defects
- PhD in machine learning or data science
- Proficient in writing CUDA kernels and developing custom PyTorch operations.
- Experience with relevant NVIDIA libraries and frameworks, such as CUBLAS, CuDNN, and NPP
-
Mastery of Ray
US Pay Range
$153,200—$183,800 USD
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
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
💰 153200
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Skills
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Industry
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