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Senior Embedded Machine Learning Jobs in Indiana

Your Role: As a Senior Data Scientist at Elanco, you will be a key driver of innovation and ... Partner to design, develop, and validate statistical and machine learning models to address key ...

Senior AI Engineer - SFL Scientific

Indianapolis, IN · On-site

$99K - $137K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Senior Data Scientist

Columbus, IN · On-site

$80K - $90K/yr

Senior Data Scientist Location: (Remote / Hybrid / On-site - City, Country) Columbus, IN Employment ... Develop and deploy predictive models using machine learning frameworks like scikit-learn ...

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

Senior Software Engineer

Crane, IN · On-site

$122K - $161K/yr

Knowledge of computer vision, machine learning, or AI algorithms for autonomous systems. * Experience with Real-Time Operating Systems (RTOS) or embedded software development. * Familiarity with ...

Showing results 41-60

Senior Embedded Machine Learning information

What does a senior embedded machine learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.

What are the key skills and qualifications needed to thrive as a senior embedded machine learning engineer?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What are some common challenges faced by senior embedded machine learning engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What cities in Indiana are hiring for Senior Embedded Machine Learning jobs?

Cities in Indiana with the most Senior Embedded Machine Learning job openings:

Senior Software Engineer for Medical Device Startup

Fishers, IN • On-site

Levisonics Inc
1 - 10 employees

$114K - $151K/yr

Other

Medical, Dental, Vision, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About Us

We are a dynamic and innovative medical device startup developing a point-of-care portable blood coagulation testing device. Our full-time team currently comprises a CEO/Biomedical Engineer, and an Electrical Engineer.

Job Summary

We are seeking a talented and experienced Senior Software Engineer to join our team and lead the development and optimization of software workflows for our innovative acoustic tweezing technology-based medical devices. The ideal candidate will have a Master's degree in Computer Science, Software Engineering, or a related field, with a minimum of 5 years of experience. This role requires strong coding skills in Python and C/C++, proficiency in developing intuitive and visually engaging graphical user interfaces, and expertise in SQL for effective data management and database design. Experience with version control systems, particularly Git, is essential, along with the ability to understand and generate code from workflow diagrams. As the first and only software engineer on the team, you will play a pivotal role in shaping the software development efforts for our groundbreaking technology. This role is critical to the success of our product and involves working on multiple federal grants and projects.

Startup Environment

We operate in a fast-paced startup environment where innovation, adaptability, and a proactive mindset are key to success. We are looking for individuals who are passionate about working in a startup setting and thrive in dynamic and challenging situations. We value individuals who are not just seeking a job but are driven by a genuine passion for creating impactful solutions and driving change in the medical device industry. Our team members are expected to work well under pressure, juggle multiple projects, and be flexible in their roles as the needs of the company evolve. If you are excited about the opportunity to make a meaningful impact and are ready to roll up your sleeves and tackle challenges head-on, we encourage you to apply.

Key Responsibilities
  1. Optimize and Enhance Existing Software
    • Improve the efficiency of our existing software written in Python.
    • Increase processing speed for short-term operation on laptops.
    • Convert and optimize the software for embedded computing devices inside the medical device long-term.
  2. Software Packaging and Security
    • Secure the code to prevent reverse engineering.
    • Package the software into executable files for easy installation and deployment.
  3. Connectivity and Data Management
    • Ensure the software can connect to the internet.
    • Implement connectivity to an online database for long-term data management.
    • Incorporate Data Science, Machine Learning, and AI for handling large amounts of health data.
  4. Health Data Security
    • Ensure the highest level of security for software and health data management.
  5. New Technique Development
    • Convert and develop existing crude MATLAB codes and technology algorithms into efficient software for commercial use.
    • Create executable files with efficient large data handling capabilities.
    • Develop complex data processing software and manage large data analysis.
    • Develop a user-friendly interface for healthcare professionals.
    • Implement a remote kill switch for the software.
    • Apply all relevant requirements from existing software.
  6. Parallel Processing and Language Conversion
    • Implement efficient parallel processing techniques.
    • Convert existing Python code to C/C++ or another suitable low-level efficient language to run software optimally on embedded hardware.
  7. Other Responsibilities
    • Develop high-quality, efficient, and maintainable code.
    • Design intuitive and visually engaging user interfaces.
    • Proactively take on new responsibilities and suggest innovative ideas for product and company growth.
    • Participate in grant writing and fundraising activities.
    • Engage in FDA-related activities and adhere to quality protocols.
    • Perform other relevant software-related tasks as needed for the company.
Minimum Qualifications
  • Master’s degree in Computer Science, Software Engineering, or a related field.
  • Minimum of 5 years of experience in software development.
  • Strong coding skills in Python, C, and C++ (JavaScript is a plus).
  • Proficiency in developing intuitive and visually engaging graphical user interfaces.
  • Proficiency in SQL for effective data management and database design.
  • Experience with version control systems, particularly Git.
  • Ability to understand and generate code from workflow diagrams.
  • Knowledge of integrating multiple devices and establishing centralized control.
  • Familiarity with IDEs, preferably PyCharm.
  • Excellent problem-solving skills and ability to work independently.
  • Strong written and verbal communication skills.
Preferred Qualifications
  • Experience working in the medical device industry.
  • Familiarity with Agile development methodologies.
  • Knowledge of machine learning techniques and algorithms.
  • Experience with Docker and containerization technologies.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Prior experience working in startups.
  • Experience with embedded systems and medical device software development.
  • Strong knowledge of data security, especially related to health data.
  • Knowledge of parallel processing and algorithm optimization.
  • Innovative mindset with a track record of proactive contributions.
  • Experience in grant writing and regulatory compliance (FDA).
What We Offer
  • Competitive salary
  • Health, dental, and vision insurance coverage
  • Generous paid time off
  • Professional development opportunities
  • Potential to receive stock options
  • Opportunities for growth within the company
  • Flexible work arrangements, including remote work options
  • Dynamic and innovative startup environment
  • Opportunity to make a meaningful impact in the medical device industry
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