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Meta

Sensor Signal Pipeline Engineer

Redmond, WA

Reality Labs (RL) Sensors Team at Meta is helping build novel products in Augmented and Virtual Reality. Our team explores, develops, and delivers new cutting-edge sensing technologies that serve as the foundation of current and future AR/VR products at Meta. We are looking for candidates with experience in Digital Signal Processing (DSP) for sensor systems to assist with the development of novel hardware and software systems within the RL Sensors Team, while collaborating with experts across multiple domains.

Sensor Signal Pipeline Engineer Responsibilities:

  • Collaborate with other researchers and engineers across Facebook to develop novel hardware and software products that advance the state-of-the-art in AR/VR systems.
  • Collaborate with internal and external research, design, and engineering teams to develop Digital Signal Processing (DSP) algorithms for sensor systems that advance the state-of-the-art.
  • Architect, design, and prototype critical sensor technologies that combine multiple sensing modalities, while balancing system-level constraints on size, weight, power, performance, and cost.
  • Work with the team to help design, setup, and run practical experiments related to sensor systems.
Minimum Qualifications:

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  • BS degree in Electrical Engineering, Computer Science or related engineering disciplines.
  • 5+ years' industry experience, directly contributing to DSP algorithm development for consumer electronics products.
  • 5+ years' experience in embedded software development using C/C++.
  • Hands-on experience working with at least one sensing modality including Inertial Sensors, Pressure Sensors, Magnetometers, Ultrasonic Transducers, and/or similar sensors.
  • Demonstrated experience in signal conditioning, digital filtering, signal-to-noise ratio analysis, link-budget analysis, detection and estimation theory.
  • Proficiency in using benchtop equipment such as logic analyzers, oscilloscopes, and signal generators.
  • Demonstrated interpersonal experience in cross-group and cross-culture collaboration.
Preferred Qualifications:
  • MS or PhD degree in Electrical Engineering, Computer Science or related engineering disciplines.
  • 5+ years' experience with scripting environments such as MATLAB and/or Python.
  • Experience with Simultaneous Localization and Mapping (SLAM), Visual Inertial Odometry (VIO), and Sensor Fusion algorithms.
  • Familiarity with modern Machine Learning algorithms, specifically Deep Convolutional Networks, Recurrent Neural Networks, Clustering, and Dimensionality Reduction.
  • Familiarity with the emerging Augmented Reality and Virtual Reality technologies.
  • High levels of creativity and quick problem-solving skills.
About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Client-provided location(s): Redmond, WA, USA
Job ID: a1K2K00000906KDUAY
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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