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Hourly Embedded Machine Learning Jobs in Texas (NOW HIRING)

Symbotic

Senior Embedded Software Engineer

Austin, TX · On-site

$122.90K - $161.10K/yr

As a Senior Embedded Software Engineer, you will play a key role in designing, developing, and ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Symbotic

Senior Embedded Software Engineer

Austin, TX · Hybrid

$122.90K - $161.10K/yr

As a Senior Embedded Software Engineer, you will play a key role in designing, developing, and ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar. * Experience with embedded systems and integrating computer vision algorithms ...

DARBYTEK

Sr. Computer Vision Engineer

Austin, TX

$103.60K - $142.20K/yr

Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar. Experience with embedded systems and integrating computer vision algorithms ...

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Hourly Embedded Machine Learning information

What are the key skills and qualifications needed to thrive as an Hourly Embedded Machine Learning Engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an Hourly Embedded Machine Learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an Hourly Embedded Machine Learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are the most commonly searched types of Embedded Machine Learning jobs in Texas? The most popular types of Embedded Machine Learning jobs in Texas are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in Texas? For Hourly Embedded Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Texas look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Texas are:
Hourly Embedded Machine Learning jobs near you
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Symbotic

Austin, TX • On-site

$122.90K - $161.10K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Who we are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.
What we need
We are seeking a highly skilled and experienced Senior Embedded Software Engineer to join our team. As a Senior Embedded Software Engineer, you will play a key role in designing, developing, and maintaining Linux-based systems and software for our cutting-edge projects. You will work with a team of engineers and be responsible for feature ownership, providing technical expertise in areas such as Yocto, OpenEmbedded, ROS, NVIDIA Jetson and Orin BSPs, VxWorks, Linux ethernet networking, and kernel drivers. We are looking for a person who thrives in a creative, collaborative, and agile development environment.
What we do
We are a talented team of roboticists and software engineers responsible for all software and firmware aspects of our mobile robots. These mobile robots are responsible for handling cartons inside the warehouse structure, moving them to and from storage locations. The mobile robots are key to the efficient operation of the Symbotic systems, and their reliability is paramount.
What you'll do
  • Lead and participate in the design, development, and maintenance of embedded software systems for Symbotic robots.
  • Collaborate with cross-functional teams to define system requirements and architecture.
  • Design and implement builds for embedded Linux. Work with embedded real-time operating systems and microcontrollers.
  • Design and implement Ethernet networking solutions, including protocols, drivers, and performance optimization.
  • Develop and maintain kernel drivers for custom hardware and device integration. Optimize and customize file systems for application specific requirements.
  • Conduct code reviews, perform debugging and troubleshooting, and ensure code quality and best practices are followed.
  • Stay updated with the latest industry trends, technologies, and best practices related to Linux and embedded systems. Maintain documentation for installation and troubleshooting procedures. Monitor system performance and identify optimization opportunities.

What you'll need
  • Bachelor's or higher degree in Computer Science, Electrical Engineering, or related field.
  • Minimum 7 years' professional experience in Linux system development and software engineering.
  • Strong proficiency in open source embedded build systems.
  • Experience in NVIDIA platform development and customization is desirable.
  • In-depth understanding of Ethernet networking protocols and technologies.
  • Proficiency in kernel-level programming and driver development.
  • Familiarity with ROS (Robot Operating System) and its integration. Strong problem-solving and ability to troubleshoot complex issues on urgent timelines.
  • Excellent communication and interpersonal skills.
  • Self-motivated, detail-oriented, and able to work independently as well as in a team.
  • Ability to accommodate 10% travel to support operational sites.

Nice to Have
  • Wireless firmware development experience
    • Cellular: ModemManager integration experience along with Qualcomm ST command set experience
    • WiFi: WPA Supplicant and ATH12K driver experience
  • FPGA (verilog) development experience

Our Environment:
  • Up to 10% of travel may be required. Employees must have a valid driver's license and the ability to drive and/or fly to client and other customer locations.
  • The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

#LI-JT1
#LI-Hybrid
About Symbotic
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.
We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
The base range for this position in the posted location is $138,075.00 - $204,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

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