Algorithm Engineer
Apply NowCompany: Pendar Technologies
Location: Cambridge, MA 02139
Description:
About Pendar Technologies
Pendar Technologies develops advanced chemical analysis solutions for mission-critical applications in public safety, defense, and industrial settings. Our technology transforms raw spectroscopic data into accurate and actionable chemical identification results.
We are seeking an Algorithm Engineer with a strong applied mathematics background to develop and optimize the core algorithms that power our instruments. This role is technically demanding and highly impactful within our organization. Successful candidates will contribute to the continuous improvement of our real-time chemical identification systems, working in a collaborative, multidisciplinary environment.
Your Responsibilities
This role is suited for individuals who are methodical, disciplined, and driven by technical challenges. The ideal candidate is pragmatic rather than dogmatic in their approach to problem-solving, engages constructively in technical debates, and values collaboration over individual recognition. We value individuals who are reliable, adaptable, and committed to producing high-quality work in a fast-paced environment.
Why Join Us?
Pendar Technologies develops advanced chemical analysis solutions for mission-critical applications in public safety, defense, and industrial settings. Our technology transforms raw spectroscopic data into accurate and actionable chemical identification results.
We are seeking an Algorithm Engineer with a strong applied mathematics background to develop and optimize the core algorithms that power our instruments. This role is technically demanding and highly impactful within our organization. Successful candidates will contribute to the continuous improvement of our real-time chemical identification systems, working in a collaborative, multidisciplinary environment.
Your Responsibilities
- Develop, implement, and optimize algorithms for processing spectroscopic data.
- Apply mathematical and statistical techniques to improve accuracy, reliability, and computational efficiency.
- Collaborate closely with scientists, software engineers, and product managers to integrate algorithms into our systems.
- Write well-structured, maintainable Python code within a shared, version-controlled codebase.
- Optimize algorithm performance for embedded processing when required.
- Engage in rigorous technical discussions and contribute to design and implementation reviews.
- Master's or PhD in Applied Mathematics, Computer Science, Electrical Engineering, or a related field.
- Strong mathematical foundation, with expertise in statistical data analysis, numerical optimization, or signal processing.
- Proficiency in object-oriented programming, with significant experience in Python.
- Familiarity with software development best practices, including version control and test-driven development.
- Ability to work independently on complex problems while contributing effectively to a team.
- Familiarity with machine learning techniques applied to scientific data.
- Experience optimizing code for embedded processors.
- Exposure to spectroscopic data analysis is a plus but not required.
This role is suited for individuals who are methodical, disciplined, and driven by technical challenges. The ideal candidate is pragmatic rather than dogmatic in their approach to problem-solving, engages constructively in technical debates, and values collaboration over individual recognition. We value individuals who are reliable, adaptable, and committed to producing high-quality work in a fast-paced environment.
Why Join Us?
- Impact - Your work will directly contribute to the development of technology used in public safety and defense.
- Technical Challenge - Solve complex problems in data processing and algorithm development.
- Collaboration - Work closely with experts across multiple disciplines in a flat, team-oriented environment.
- Rewarding Work - We recognize and value contributions that drive results.
- Full-time position with competitive benefits.
- Cambridge, MA (near Alewife T Station), accessible by public transit.
- On-site parking available.