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Salary
$180k – $200k per year
Location
In office (San Francisco)
Seniority
Senior · 4+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 21, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.
Backed by TU

About the Role

Join a small engineering team at a defense technology company developing autonomous systems to counter drone threats. As a senior individual contributor, you will own the precision motion control stack, from control architecture and state estimation to hardware testing and field characterization.

What You'll Do

  • Design and tune precision pointing and tracking control loops, including closed-loop control from sensor input to actuator command.

  • Build state estimation and sensor fusion across IMUs, encoders, and vision feedback.

  • Identify and model gimbal, mount, and actuator dynamics, then compensate for resonance, backlash, friction, saturation, and other nonlinearities.

  • Develop simulation and hardware-in-the-loop infrastructure to validate controls and reduce the sim-to-real gap.

  • Characterize system performance on hardware and during field testing, and document control designs and tuning standards.

What We're Looking For

  • At least 4 years of robotics experience, including designing and tuning closed-loop controllers on physical motion hardware.

  • Strong grounding in classical and state-space control, including LQR and MPC, with experience applying these methods to real systems.

  • Hands-on state estimation and sensor fusion experience using Kalman, EKF, UKF, or complementary filters.

  • Experience with system identification, frequency-domain tuning, resonance compensation, and managing latency and jitter in real-time loops.

  • Modern C++ for real-time control, plus Python or MATLAB/Simulink for modeling and analysis.

  • Familiarity with servo drives, brushless motors, encoders, and IMUs, and the ability to work across mechanical, electrical, and software disciplines.

  • Experience building control simulations and validating them against hardware.

Compensation & Benefits

Base salary: $180,000 to $200,000 USD annually. Visa sponsorship is not available.

Location

On-site in San Francisco, California, United States.

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