Software Engineer
VectraSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Software Development, AI PlatformIndustries
Requirements
Candidates are required to have 5+ years of experience writing production software and at least 2+ years focused on ML platform or infrastructure. Expertise in Python, including asynchronous programming, typing, packaging, and performance optimization, is essential, along with working knowledge of Golang for systems components. Proven experience with one or more serving frameworks such as vLLM, Triton, or TorchServe is needed, as well as a solid understanding of distributed systems, networking, and container security.
Responsibilities
The Senior Software Engineer will be responsible for designing, building, and maintaining low-latency serving stacks for in-house ML model serving and integrating with LLM serving partners, automating training pipelines with MLOps practices, optimizing model serving at scale through techniques like caching and autoscaling, building reusable SDKs and templates for independent model deployment, and raising the bar by implementing deep observability and mentoring engineers on production ML best practices.
Skills
Python
async
typing
packaging
performance
ML platform
ML infrastructure
Kubernetes
MLOps
model serving
scaling
observability
monitoring
instrumentation
Cresta
AI-powered coaching for sales teams
About Cresta
Cresta focuses on enhancing business outcomes through AI-powered coaching and assistance, particularly for sales teams. Its main product, Cresta for Sales, analyzes all sales conversations to identify performance gaps and provide real-time coaching, helping businesses improve their sales efficiency. This service is available on a subscription basis and is suitable for companies of all sizes across various industries. Cresta also offers a chatbot service that automates repetitive conversations, allowing sales agents to concentrate on more complex tasks. The patented Real-Time Intelligence Engine continuously learns from interactions to highlight effective behaviors, giving businesses a competitive edge. Clients have reported notable improvements, including faster response times and increased sales conversions.
Key Metrics
Palo Alto, CaliforniaHeadquarters
2017Year Founded
$268.5MTotal Funding
SERIES_DCompany Stage
Consumer Software, Enterprise Software, AI & Machine LearningIndustries
201-500Employees