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Senior Embedded DSP / ML Engineer

Senior Embedded DSP / ML Engineer

SimplisafeBoston, Massachusetts, United States
30+ days ago
Job type
  • Full-time
Job description

About SimpliSafe

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

What You’ll Do

We are seeking an exceptionally talented and experienced Senior Embedded DSP / ML Engineer to lead the design, development, and optimization of our sensor data pipelines from raw analog signals through to sophisticated edge intelligence. This pivotal role requires a deep technical mastery of micro-controller / DSP programming, low-power analog-to-digital conversion, advanced digital signal processing (DSP), multi-modal sensor fusion algorithms, and the implementation of ultra-low-power neural networks directly on embedded hardware. Experience with FPGA development for hardware acceleration is a significant plus.

You will be instrumental in transforming raw sensor inputs (e.g., radar, PIR, image, audio) into actionable insights, ensuring our devices operate with extreme efficiency and intelligence at the very edge.

Responsibilities :

  • Low-Level Sensor Interfacing & ADC : Design and implement highly optimized micro-controller / DSP code for direct interfacing with various sensors, including precise control over Analog-to-Digital Conversion (ADC) for ultra-low power operation and high fidelity data acquisition.
  • Digital Signal Processing (DSP) : Develop, optimize, and implement DSP algorithms (e.g., filtering, FFT, feature extraction, noise reduction) on embedded processors (microcontrollers, DSPs) for efficient processing of raw sensor data.
  • Sensor Fusion Algorithms : Architect, develop, and integrate algorithmic approaches to fuse data from disparate sensor sources (e.g., radar, PIR, image data, audio) to create a robust and comprehensive understanding of the environment or event.
  • Edge AI / ML Implementation : Design, optimize, and deploy ultra-low-power neural networks and other machine learning models for inference directly on resource-constrained embedded devices, leveraging specialized hardware accelerators where available.
  • Performance & Power Optimization : Relentlessly optimize code, algorithms, and hardware configurations for minimal power consumption, maximum processing efficiency, and real-time performance on embedded platforms.
  • Firmware Development : Write clean, efficient, and robust firmware in C / C++ for bare-metal or RTOS-based embedded systems.
  • FPGA Development (Bonus) : If applicable, design and implement hardware logic using FPGA-based acceleration of DSP algorithms, neural network inference, analog and digital interfacing.
  • System Integration & Debugging : Collaborate closely with hardware engineers for board bring-up, sensor integration, and system-level debugging. Utilize specialized tools for deep analysis of hardware-software interactions.
  • Algorithm to Implementation : Bridge the gap between theoretical algorithms and practical, efficient embedded implementations, considering real-world constraints and trade-offs.
  • Research & Evaluation : Stay abreast of the latest advancements in sensor technology, DSP, edge AI / ML, and low-power computing to continuously improve our product capabilities.

Required Skills & Experience :

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • 5+ years of hands-on experience in embedded software / firmware development, with a strong focus on low-level hardware interaction.
  • Expert-level proficiency in C / C++ for embedded systems.
  • Deep understanding and practical experience with ADC principles, sensor data acquisition, and signal conditioning for low-power applications.
  • Strong background in Digital Signal Processing (DSP) theory and practical algorithm implementation (filtering, spectral analysis, feature extraction).
  • Proven experience in sensor fusion algorithms (e.g., Kalman filters, particle filters, Bayesian inference) for combining data from multiple dissimilar sensors (e.g., radar, PIR, camera, audio).
  • Hands-on experience developing and deploying neural networks / machine learning models for edge inference on ultra-low-power embedded hardware.
  • Proficiency with bare metal programming and Real-Time Operating Systems (RTOS) like FreeRTOS
  • Preferred Qualifications (Bonus Skills) :

  • FPGA development for custom hardware sensor interfacing and processing.
  • Experience with embedded vision processing and image sensor integration.
  • What Values You’ll Share

  • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
  • Aim High - Always challenging ourselves and others to raise the bar.
  • No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
  • One Team - Taking a highly collaborative approach to achieving success.
  • Lift As We Climb - Investing in developing others and helping others around us succeed.
  • Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.
  • What We Offer

  • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
  • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards
  • please click here )
  • Free SimpliSafe system and professional monitoring for your home.
  • Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.
  • We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com .

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