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Battery Machine Learning Jobs in Washington (NOW HIRING)

Knowledge of behind-the-meter generation, battery storage, or microgrid solutions as components of ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

... battery packs. Working with some of the leading computer + server manufacturers as well as ... in learning how to use our various pieces of equipment and machinery is taught and can gain the ...

... battery packs. Working with some of the leading computer + server manufacturers as well as ... in learning how to use our various pieces of equipment and machinery is taught and can gain the ...

... battery packs. Working with some of the leading computer + server manufacturers as well as ... in learning how to use our various pieces of equipment and machinery is taught and can gain the ...

Senior Robotics Engineer

Sterling, VA

$103K - $142K/yr

... battery packs. Working with some of the leading computer + server manufacturers as well as ... in learning how to use our various pieces of equipment and machinery is taught and can gain the ...

... battery packs. Working with some of the leading computer + server manufacturers as well as ... in learning how to use our various pieces of equipment and machinery is taught and can gain the ...

... battery packs. Working with some of the leading computer + server manufacturers as well as ... in learning how to use our various pieces of equipment and machinery is taught and can gain the ...

... battery packs. Working with some of the leading computer + server manufacturers as well as ... in learning how to use our various pieces of equipment and machinery is taught and can gain the ...

Monitor battery charge, maintain, and clean batteries, and leave material handling equipment at the ... Work with other machinery and material handling equipment MINIMUM REQUIREMENTS (KNOWLEDGE, SKILLS ...

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Battery Machine Learning information

What are the key skills and qualifications needed to thrive as a Battery Machine Learning Engineer, and why are they important?

To thrive as a Battery Machine Learning Engineer, you need a strong background in machine learning, data analysis, and battery science, typically supported by a degree in engineering, computer science, or a related field. Familiarity with Python, TensorFlow or PyTorch, data processing tools, and battery management system (BMS) software is highly valued. Strong problem-solving skills, collaboration, and effective communication set standout professionals apart in this role. These skills are essential to develop accurate predictive models that optimize battery performance and longevity, driving innovation in energy storage technologies.

What is battery machine learning and what do professionals in this field do?

Battery machine learning involves the application of machine learning algorithms to analyze, predict, and optimize the performance, lifespan, and safety of batteries. Professionals in this field work on developing data-driven models to forecast battery degradation, enhance energy management systems, and improve battery design. Their work is crucial in sectors such as electric vehicles, renewable energy storage, and consumer electronics, where battery efficiency and reliability are key. By leveraging large datasets from battery usage and testing, they help accelerate innovation and reduce costs in battery technology.

What are some common challenges faced by professionals working in Battery Machine Learning roles?

Professionals in Battery Machine Learning often encounter challenges related to limited or noisy datasets, as battery performance data can be expensive and time-consuming to collect. Additionally, integrating domain knowledge from electrochemistry with advanced machine learning techniques requires strong interdisciplinary collaboration. Staying up-to-date with both the latest AI methods and battery technology advancements is essential but can be demanding. Collaborating closely with researchers, engineers, and data scientists is a key aspect of the role, as projects frequently depend on cross-functional teamwork to translate predictive insights into practical battery innovations.
What are popular job titles related to Battery Machine Learning jobs in Washington? For Battery Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Battery Machine Learning jobs in Washington look for? The top searched job categories for Battery Machine Learning jobs in Washington are:
What cities in Washington are hiring for Battery Machine Learning jobs? Cities in Washington with the most Battery Machine Learning job openings:
Firmware Engineer

Firmware Engineer

Armaments Research Company

Ashburn, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

About Armaments Research Company

Armaments Research Company (ARC) is a technology company dedicated to bringing real-time situational awareness and battlefield logistics capabilities to the warfighter. You will be an integral part of the ARC team managing program execution in support of our innovative and powerful IoT devices to enhance national security.

Our core offering is the ARC AI-Enabled Weapons Sensor (AEWS), which collects and transmits real-time tactical data to the cloud. This information enables battlefield/tactical awareness and aggregated insights into big data sets that do not exist today. ARC technologies were initially developed in partnership with DARPA and the National Science Foundation and leverage internet-of-things (IoT) technology and machine learning to derive actionable insights and transform operational responses. This novel technology will be deployed at scale to enhance safety, decision-making, and sustainment for the warfighter at the tactical edge.

What You'll Do

ARC is looking for an experienced firmware engineer to join our team to extend and enhance the capabilities of our Internet of Things (IoT) sensors with ML-edge processing. You will be building and developing ARC's IoT sensor devices, leveraging an ARC designed microprocessor platform to characterize and enhance performance of numerous MEMS-based components. Because you will be joining a startup, there are many opportunities to expand beyond your core skills set if desired. You will be part of a high caliber team dedicated to both mission and advancing ground-breaking technology.

Role Responsibilities - How You Will Make an Impact
  • Break down system and product requirements into a firmware design and implement it for the ARC product lines
  • Work with the product team to define and characterize performance metrics for sensor components
  • Iteratively improve user-experience concerns around accuracy, stability, and calibration of MEMS sensors
  • Support firmware development and optimization efforts for processing efficiency, code size, and power requirements
  • Provide input, feedback, and data-backed results to management and leadership on various firmware features, functions, and power utilization
  • Work with the ARC team to plan firmware work in Agile development cycles
  • Identify, develop, and execute automated and manual testing procedures with ARC QA functions including hands on support for debugging and resolving identified issues
Relevant Skills and Experience
  • Bachelor's degree in electrical engineering, computer engineering, or a related field
  • Experience with hardware or firmware development (C programming)
  • Experience with electronic magnetometers, accelerometers, gyroscopes, temperature/pressure sensors, and similar digital sensing technologies
  • Experience with SPI, I2C, and UART protocols
  • Experience developing microprocessor/micro-controller-based solutions
  • Experience with Agile methodologies and development cycles
  • Proficiency in using various development environments as well as meters, oscilloscopes, JTAG debugging, logic analyzers, packet sniffers, emulators, etc.
  • Familiarity with battery operated products or products with constrained power
Bonus Points:
  • Master's degree or higher in electrical, computer engineering or a related field
  • Experience with Test Driven Development (TDD)
  • Experience with digital signal processing (DSP) techniques
  • Experience developing Bluetooth Low Energy (BLE), WiFi, or RF enabled IoT devices
  • Experience developing firmware applications for the Zephyr RTOS
  • Experience reading/developing schematic drawings using KiCAD/Altium or equivalent tools/software
  • Experience developing ultra-low power optimized firmware for custom designed PCB boards
  • Existing or ability to obtain a DoD security clearance

This position will require access to restricted information and facilities protected under U.S. laws and regulations, including the National Industrial Security Program Operating Manual (NISPOM). Please note that any offer for employment will be conditioned on any required authorization to receive access to such restricted information and facilities necessary to perform the responsibilities of the position.

Citizenship Verification: This position requires verification of U.S. Citizenship to meet federal government security screening requirements required for this role. The successful candidate must be a U.S. Citizen and otherwise eligible to obtain access to classified information and facilities necessary to perform the responsibilities of the position.
What We Offer:

Equity Options
401k plan
Employer paid employee medical, dental and vision

12 paid holidays plus Flexible PTO Policy