Intelligent Systems Developer

Bandelier Technologies; Santa Fe (NM); On-site; USD 100,000 - 140,000; Full time

Job summary

Bandelier Technologies, a Santa Fe, NM startup, seeks an Intelligent Systems Developer to design and build software transforming data from advanced sensing platforms into actionable information. You will work with hardware engineers, scientists, and partners to develop solutions across timing, synchronization, imaging, and data processing.

Initial focus includes timing integrity and advanced imaging, including quantum network imaging and ghost imaging, with software bridging hardware, sensors,

Qualifications

• Strong system development skills with architecture design and distributed component integration.
• Proficiency in Python, C/C++, or MATLAB.
• Experience with software testing, CI/CD, and automation.
• A bachelor’s or advanced degree in a technical field or equivalent practical experience.
• Ability to collaborate on site and manage multiple priorities in a startup environment.

Responsibilities

• Design, develop, and maintain software applications supporting advanced sensing, timing integrity, and imaging technologies.
• Build software for real-time anomaly detection and signal-integrity monitoring across timing and sensing data streams.
• Build data processing pipelines for multimodal sensor systems, integrating information from heterogeneous sensing platforms.
• Familiarity with modern software development practices, including version control and debugging.
• Integrate machine learning models, software components, and external technologies into larger software ecosystems and operational workflows.
• Design and implement interfaces between sensing hardware, software services, and downstream analytics tools.
• Collaborate with scientists, engineers, and external partners to translate research concepts into deployable software capabilities.
• Contribute to software architecture, technical planning, and product development efforts.

Skills

System design

Python

C/C++

MATLAB

Testing & CI/CD

Distributed systems

Linux environments

Education

Bachelor's degree in Computer Science, Engineering, Physics, or related field

Tools

Linux

PyTorch

TensorFlow

SciPy

Job description

Bandelier Technologies is a deep-tech startup focused on commercializing quantum sensing and precision timing systems for defense and critical infrastructure. The company builds hardware and software platforms that enable distributed systems to verify the integrity of their timing and sensing data, addressing security and reliability gaps in current solutions. Bandelier operates in close partnership with Los Alamos National Laboratory, Sandia National Labs, and collaborates with the U.S. Department of Energy, the U.S. Department of Defense, and the New Mexico Economic Development Department. Headquartered in Santa Fe, New Mexico, the organization offers opportunities to work at the intersection of cutting-edge research, national security, and mission-critical industrial applications.

Role Description

The Intelligent Systems Developer will help design and build software that transforms data from advanced sensing platforms into actionable information. The position is primarily focused on software development, system integration, and translating emerging sensing technologies into practical software products and operational capabilities. The successful candidate will work closely with hardware engineers, scientists, and external partners to develop practical solutions spanning timing and synchronization integrity, situational awareness, imaging, and other emerging sensing applications.

Initial efforts will focus on two converging technology areas. The first is timing and synchronization integrity, where software continuously monitors and verifies the trustworthiness of precision timing signals used across communications, navigation, and critical infrastructure systems. The second is advanced imaging, including quantum network imaging and ghost imaging systems, where the developer will build software solutions for image reconstruction, classification, and data processing, enabling the extraction of useful information from unconventional imaging modalities. These efforts will require software systems that bridge hardware, sensors, data processing, and machine learning to create operational capabilities from emerging technologies.

The position sits at the intersection of software development, advanced sensing, and applied machine learning. Successful candidates will be comfortable working across multiple layers of the technology stack, from sensor and hardware interfaces to data processing pipelines and machine learning enabled applications. While machine learning experience is valuable, equal emphasis is placed on strong software development practices and the ability to integrate diverse technologies into cohesive, deployable systems.

Key Responsibilities

• Design, develop, and maintain software applications supporting advanced sensing, timing integrity, and imaging technologies.
• Build software for real-time anomaly detection and signal-integrity monitoring across timing and sensing data streams.
• Build data processing pipelines for multimodal sensor systems, integrating information from heterogeneous sensing platforms.
• Familiarity with modern software development practices, including version control and debugging.
• Integrate machine learning models, software components, and external technologies into larger software ecosystems and operational workflows.
• Design and implement interfaces between sensing hardware, software services, and downstream analytics tools.
• Collaborate with scientists, engineers, and external partners to translate research concepts into deployable software capabilities.
• Contribute to software architecture, technical planning, and product development efforts.

Qualifications

• Strong system development skills, including system architecture design, integration of distributed components, and performance optimization.
• Strong software development and programming skills, with experience in one or more languages such as Python, C/C++, or MATLAB.
• Experience with software testing, including unit, integration, and system testing, as well as familiarity with automated test frameworks and CI/CD practices.
• A bachelor's or advanced degree in Computer Science, Engineering, Physics, or a related technical field, or equivalent practical experience.
• Ability to work collaboratively on site, communicate clearly across disciplines, and manage multiple priorities in a startup environment.

Preferred Experience and Education

• Strong Python programming skills and experience working in Linux environments.
• Experience developing user-facing applications, data visualization tools, APIs, or other production software systems.
• Experience integrating software with hardware systems, sensors, or instrumentation platforms.
• Experience with embedded or real-time systems, networking, and security for distributed systems.
• Familiarity with signal processing and machine learning frameworks such as PyTorch, TensorFlow, SciPy, or similar tools.
• Experience in defense, critical infrastructure, or high-assurance systems, and eligibility to work with sensitive or controlled technologies, is a plus.
• Comfortable operating in an early-stage R&D environment where requirements evolve alongside the technology.