Senior Algorithm Engineer — Real-Time EEG & AI (Hybrid)

Pascall Systems, Inc.

Cambridge (MA)

Hybrid

USD 140,000 - 190,000

Full time

6 days ago
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Benefits offered by this job

Dental insurance
Health insurance
Paid parental leave
Paid time off

Job summary

PASCALL Systems, a Cambridge-based medical device company, seeks a Senior Algorithm Engineer to lead EEG signal processing and ML model development. You will own end-to-end algorithm work from feature extraction to real-time state estimation, aligned with FDA submission standards, and collaborate closely with hardware, software, and clinical teams.

Hybrid remote work in Cambridge, MA is available. The role emphasizes imaginative problem solving, responsibility for documentation, and applying

Qualifications

  • Advanced degree required in a relevant technical field.
  • Significant experience building production-grade signal processing or ML algorithms.
  • Experience with regulated medical device development preferred.

Responsibilities

  • Design and own signal processing and feature extraction algorithms.
  • Develop real-time estimators and Kalman filtering for on-device use.
  • Lead algorithm development within a regulated quality system.
  • Collaborate across hardware, software, and clinical teams.
  • Prototype, document, and validate algorithms for FDA submissions.

Skills

Signal processing
Machine learning
Kalman filtering
Python programming
Regulated development
Leadership
Real-time systems
Statistical analysis

Education

PhD in Statistics, Mathematics, Computational Neuroscience, Biomedical or Electrical Engineering, CS, or related field

Tools

AWS managed services
Cloud computing
MLOps
GitHub Copilot
Claude/Claude Code

Job description

PASCALL Systems, a Cambridge-based medical device company, seeks a Senior Algorithm Engineer to lead EEG signal processing and ML model development. You will own end-to-end algorithm work from feature extraction to real-time state estimation, aligned with FDA submission standards, and collaborate closely with hardware, software, and clinical teams.

Hybrid remote work in Cambridge, MA is available. The role emphasizes imaginative problem solving, responsibility for documentation, and applying

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