Senior Signal Processing Engineer

Arago Inc.; Paris; Sur place; EUR 65 000 - 85 000; Plein temps

Avantages offerts par ce poste

Healthcare coverage

Stock option plan

Relocation bonus

Professional development support

50% public transport reimbursement

25 days PTO

Résumé du poste

Arago Inc. is on the lookout for a Senior Signal Processing Engineer to translate hardware realities into mathematical solutions. This role involves collaborating with various teams to optimize designs and ensuring robust numerical proofs back every decision. Candidates should have a minimum of 5 years' experience in telecom or signal processing, paired with extensive expertise in C/C++ and Python.

The position offers competitive compensation, stock options, and various benefits including healthcare coverage, PTO, and a relocation bonus. Join a diverse and fast-paced environment!

Qualifications

• Minimum 5 years of experience in relevant industries.
• Extensive experience in C/C++ and Python.
• Ability to identify and model sources of variability.

Responsabilités

• Collaborate with teams to analyze hardware decisions' impact.
• Design internal tools for simulations and optimizations.
• Develop models predicting light-matter interaction behavior.

Connaissances

C/C++

Python

Numerical analysis

Optimization

Mathematical modeling

English proficiency

French (plus)

Formation

Major in Mathematics, Physics, or Informatics

Description du poste

What you’ll do

As a Senior Signal Processing Engineer, you sit at the intersection of our physical and digital layers, translating hardware reality into mathematical clarity. You will work hands‑on with the optics, analog, and digital teams to co‑optimize the design of our compute engine. You're a strong fit if C/C++ is your primary tool and your background spans environments such as telecom, high‑speed sensing, optimal control, signal processing, or related fields.

Required Skills and Experience

• Minimum 5 years of experience in relevant industries (telecom, high-speed sensors, optimal control, signal processing, or related fields).
• Extensive experience in C/C++ and Python.
• Major in Mathematics, Physics, or Informatics with deep expertise in numerical analysis, optimization, and mathematical modeling.
• Strong ability to identify and model dominant sources of variability, noise, and distortion using both analytical tools and numerical simulations.
• High level of curiosity and a "first principles" approach to solving non-standard problems in hardware‑software co‑design.
• English at a proficient level; French is a plus.

Responsibilities

• Collaborate with optics, analog, and digital teams to deduce how low-level hardware decisions affect final chip characteristics and AI model performance.
• Design and build proprietary internal tools for faithful simulations and hardware optimization.
• Analyze the impact of physical noise and signal distortion on system performance, creating mathematical frameworks to mitigate these effects.
• Develop models that predict the behavior of light‑matter interaction within our architecture to guide the digital and analog design teams.
• Drive the mathematical validation of our architecture, ensuring that every design choice is backed by rigorous numerical proof.

Pay and benefits

• Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.
• Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers).
• Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location.
• Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays.
• Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive.
• Reimbursement of 50% of the public transport subscription fee.
• A high-paced, multicultural (with 10 nationalities), and engineering-led environment.