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Cerebras Systems
8+ YOECandidates need 8+ years of software engineering experience, deep distributed systems and Kubernetes expertise, and strong Go or C++ skills. Experience with TLS/mTLS, high-QPS latency optimization, and observability and SLO-driven operations is also required.
Kubernetes, Go, C++
Valence
8+ YOECandidates need 8+ years of software engineering or AI/ML experience, ideally with a Master's or PhD in a related field. They need experience with NLP, data science tools, cloud deployment and containers.
Docker, Kubernetes, AWS, GCP, Azure, PySpark
Valence
8+ YOECandidates need 8+ years in software engineering, distributed systems, infrastructure, or SRE roles, with experience building systems other teams depend on. Hands-on skills in CI/CD, cloud platforms, containers, observability, and incident response are expected, along with clear communication skills.
Docker, Kubernetes, AWS, GCP, Azure
DRW
5+ YOECandidates need a bachelor's or master's degree in computer science or software engineering, plus 5+ years building software for machine learning systems. Strong programming skills, deep learning knowledge and production MLOps experience are essential.
TensorFlow, PyTorch, TensorRT, ONNX, CUDA, OpenCL
DRW
Candidates need to be pursuing a master's or PhD in machine learning, deep learning or NLP, with strong Python skills and experience training large models. They also need communication skills and a team-oriented attitude.
TensorFlow, PyTorch, Keras, scikit-learn, Python
Shakudo
4+ YOECandidates need 4 to 8 years of solution engineering or senior client-facing engineering experience, plus hands-on Kubernetes and Helm skills, cloud platform and infrastructure-as-code experience, and strong communication with technical and non-technical audiences.
Kubernetes, Helm, Python, React, TypeScript
Shakudo
8+ YOECandidates need 8+ years in software, data, platform or AI engineering, including 3+ years building LLM applications and 5+ years with Kubernetes in production. Strong cloud, data engineering and customer-facing skills are required, with a production programming language.
Kubernetes, Spark, Airflow, Databricks, Snowflake, PagerDuty
Ethernovia, Inc.
6+ YOECandidates need a Bachelor's or Master's degree in computer science or a related field and 6+ years of experience. Strong C/C++ skills, device driver and operating system knowledge (Linux, QNX or RTOS), and hands-on hardware experience with communication devices are required.
Git, Perforce, Yocto, uboot
Cohere: Cohere is the leading security-first enterprise AI company.
3+ YOECandidates need 3+ years of real-world data science experience, strong data analysis and visualization skills, and proficiency in Python with pandas and numpy. Strong SQL and familiarity with JSON, XML, YAML and HTML are also required.
Python, pandas, numpy, matplotlib, sqlite, SQL
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need to be pursuing or completing a PhD in machine learning, NLP or a related field, with experience in distributed training, transformers and Python, and strong communication skills. Cohere will also consider exceptional non-PhD candidates.
PyTorch, JAX, TensorFlow, Python, C++
Cohere: Cohere is the leading security-first enterprise AI company.
5+ YOECandidates need 5+ years of engineering experience running large-scale production infrastructure, especially distributed systems on Kubernetes with GPU workloads. Strong Linux, cloud platform, troubleshooting and performance skills are required, and experience in Golang, C++ or a similar high-performance language is a plus.
Kubernetes, Linux, GPU, GCP, Azure, AWS
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need strong Python and data pipeline engineering skills, experience with data processing frameworks, and hands-on work with LLMs and large datasets. Familiarity with LLM inference frameworks such as vLLM and TensorRT is also expected.
Python, Apache Spark, Apache Beam, Pandas, vLLM, TensorRT
Cohere: Cohere is the leading security-first enterprise AI company.
Cohere needs candidates with a PhD in computer science, machine learning or a related field, with top-venue publications, deep code LLM and agent expertise, and strong Python and PyTorch or TensorFlow skills. Experience with distributed systems and cloud infrastructure is also required.
PyTorch, TensorFlow, Python
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need very strong software engineering skills, proficiency in Python and ML frameworks such as JAX, PyTorch or XLA/MLIR, and experience debugging large-scale distributed training. Test-driven development and clean code habits are valued. Experience with Kubernetes, Ray, post-training and ML or RL research are bonus qualifications.
Python, JAX, PyTorch, XLA/MLIR, Kubernetes, Ray
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need strong Python and data pipeline engineering skills, familiarity with data mixing and data processing frameworks, and experience with large-scale web, code and multilingual datasets. A research-oriented mindset bridging research and engineering is valued.
Python, Apache Spark, Apache Beam, Pandas
Alarm.com
8+ YOECandidates need 8+ years of embedded software development with strong C/C++ skills on Linux, deep experience with Linux build toolchains, and knowledge of cellular, Wi-Fi and IoT connectivity. They also need proven experience leading architecture decisions and communicating technical trade-offs.
Yocto, buildroot, OpenWRT, Android AOSP, Linux
7 companies