An 18-month early career program for recent graduates or those with up to five years of experience, featuring rotations across Research, Product Development, Data, and AI to build next-generation solutions.
Responsibilities
Particip in three rotations, including one international and market exposure
Rotate across Research, Product Development, Data, and AI
Contribute to solutions that move the business forward
Tackle challenges related to LLM post-training and AI
The Principal Software Engineer is responsible for developing embedded software including design and development for safety critical automotive computer vision-based applications focusing on Image Signal Processing (ISP).
Responsibilities
Design, implement, test and debug of core and/or application specific software requirements for automotive embedded electronic module serial production projects
Develop software in compliance with a formal ASPICE/Comma based Global Engineering Process (GEP)
Perform work assignments as a highly competent software engineer, requiring independent design, implementation and testing of the software components
Interface with product development teams located in various geographical locations
Real-time embedded software using C++ for 32/64-bit multicore SoC/microcontrollers
Lead technical architecture and system integration for Linux‑based smart camera platforms, focusing on NPU acceleration and hardware/software co‑design.
Responsibilities
Set architectural vision for Linux‑based smart camera platforms
Design robust, secure platform management services in modern C++
Lead complex platform bring‑up initiatives with custom Yocto layers and BSP architectures
Architect infrastructure for on‑board NPU integration for real‑time image and video processing
Champion agentic AI coding methodologies to scale engineering output
Senior MLOps & Cloud Infrastructure Engineer responsible for building, operating, and evolving the cloud infrastructure and engineering platforms behind production AI systems.
Responsibilities
Design, provision, and operate scalable infrastructure on GCP
Manage containerised applications and ML workloads with Kubernetes
Build reproducible infrastructure using Terraform
Design and improve CI/CD pipelines for backend services and data pipelines
Improve service availability, resilience, and incident response
The Senior Engineer, Digital Signal Processing is an experienced, independent individual contributor responsible for designing, implementing, optimizing, and validating advanced real-time DSP and machine learning solutions for microphone array, integrated systems, pro audio, content creation, and unified communications products.
Responsibilities
Lead the architecture, design, development, optimization, and validation of real-time DSP and machine learning solutions for microphone array products.
Lead project planning activities, including defining scope, estimating effort, identifying resource needs, and driving execution to meet key project milestones.
Lead troubleshooting, root-cause analysis, and resolution of complex product issues related to DSP, audio performance, embedded implementation, or system integration.
Mentor and provide technical guidance to junior engineers, fostering their professional growth and maintaining a culture of knowledge sharing and innovation.
Collaborate as part of a cross-functional team including embedded software, hardware, acoustics, systems, test, product management, and user experience teams.
Develops new, innovative solutions to problems plaguing the seismic industry using knowledge of signal processing, wave propagation, and numerical optimization to develop and test high-end algorithms, sequences, or programs.
Compensation
Performance based monthly bonus averaging at 10-15% at entry level (contingent on financial & individual performance)
Responsibilities
Develop new, innovative solutions to problems plaguing the seismic industry
Use knowledge of signal processing, wave propagation, and numerical optimization to develop and test high-end algorithms, sequences, or programs
Participate in the validation of contributions with senior Research staff and Production staff by analyzing and evaluating processing and imaging results on synthetic and field data
Collaborate closely with Software Engineers on the development, deployment, and improvement of high-performance computing applications on GPU and CPU architectures
Present work and results to colleagues, clients, and externally at conferences and workshops
Refer a friend: Referral fee program
Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence. As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide. By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry. Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process.
We are committed to advancing your career and look forward to supporting your professional growth.
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Linux Systems Infrastructure Engineers — Multiple Clients
Please only apply if you have an intermediate to Senior level background in a large enterprise Linux environment, where you are working down to the kernel layer, in a massive data environment in a low latency environment.
I'm expanding my network of Systems Engineers with backgrounds in large-scale Linux infrastructure, cloud platforms, Kubernetes, high-performance computing, GPU environments, and distributed systems.
I'm especially interested in connecting with engineers who have worked with complex compute environments, infrastructure automation, large data platforms, advanced networking, research computing, or production-scale systems.
Relevant backgrounds may include:
• Linux Systems Engineering (down to the Kernal layer)
• Cloud Infrastructure
• Kubernetes / Container Platforms
• HPC and Research Computing
• GPU / AI Infrastructure
• Distributed Storage
• Python or Bash Automation
• High-Speed Networking
• Infrastructure Reliability
• Large-Scale Compute Clusters
Locations of interest on site could include the Manhattan NY, Houston TX, Montreal CA, Durham, NC, and Pittsburgh, PA markets.
Salary: Open, commensurate with experience. They will pay for extreme stand out talent.
If this matches your background, I'd be interested in connecting and learning more about the types of opportunities you would consider.
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