Sr. IoT Hardware Design Engineer

Engineering

Toronto, Canada

Sr. IoT Hardware Design Engineer

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most meaningfully to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!

Role:

Do you have a passion for building AI-enabled IoT devices? Do you want to lead the development of a brand new hardware product and choose the technology stack? Do you want to be part of the founding team and build something from the ground up?

Splunk's Toronto Engineering team is looking for a senior hardware design engineer to build an innovative solution that leverages sensor data and machine learning at the edge. You will get to work with dedicated individuals who are doing state of the art development (backend, frontend and embedded software) in the areas of machine learning, deep learning and data analytics to build best-in-class business analytics software. You will be interacting with product management and customers to understand detailed requirements. You will also work with other engineering teams across Splunk to design and build high-performance solutions.

Requirements:

5+ years Analog/Digital circuit design
2+ years ASIC/VLSI design
2+ years designing and building hardware for IoT edge devices
Knowledge of Hardware Verification Languages (HVL) such as SystemVerilog (UVM), Vera, SystemC,
Knowledge of Hardware Description Language (HDL) such as VHDL and Verilog
Schematic capture and PCB layout
Experience with microcontrollers and programmable logic devices
Experience working with sensors (temperature, vibration, etc)
Experience in designing interfaces such as USB2/3, UART, I2C, SPI, PCIe, WiFi and Ethernet
Bachelor’s Degree (or higher) in Electrical Engineering (or equivalent)

Nice to Have:

Knowledge of Google’s Tensor Processing Unit (TPU)
Knowledge of AI hardware acceleration
Knowledge of Python
Experience with leading-edge ASIC development tools from Synopsys, Mentor, or Cadence

What We Offer You:

A constant stream of new things for you to learn including edge AI, embedded machine learning and hardware accelerated AI.
A set of exceptionally collaborative and dedicated peers, all the way from engineering and QA to product management and customer support.
Growth and mentorship. We believe in growing engineers through ownership and leadership opportunities. We also believe mentors help both sides of the equation.
A stable, collaborative and supportive work environment.

We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records

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Splunk's Hiring Practices

^{Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.

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