Senior GPU Compute Engineer (Rust) Job at Signify Technology

Senior Software Engineer

CoreAI is at the forefront of Microsoft’s mission to redefine how software is bu...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science or a related field
3+ years designing, developing, and shipping high quality software
2+ years of experience with distributed systems and cloud-based infrastructure
1+ year of experience with DevOps practices (CI/CD, automated testing, deployment, etc.)
Passionate and self-motivated
Strong ability in self-learning, entering new domain, managing through uncertainty in an innovative team environment
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Architect, design, and develop core AI Infrastructure services developed in Go, Rust, Python, C++, and C# deployed on large-scale Kubernetes clusters to support state-of-the-art LLM training and inference
Design, build, and manage large-scale GPU clusters to support LLM training, and inference workloads
Enhance systems and applications to deliver high stability, low latency, strong security, and maintainability in large-scale complex training environments in Azure and in partner clouds
Provide operational support, technical leadership, and vision while contributing to the deployment, monitoring, and continuous improvement of engineering systems and practices
Support development and troubleshooting from the frontline, resolving complex issues impacting large-scale services

Fulltime

Senior Backend Engineer, Inference Platform

Together AI is building the Inference Platform that brings the most advanced gen...

Location

United States , San Francisco

Salary:

160000.00 - 250000.00 USD / Year

Together AI

Expiration Date

Until further notice

Requirements

5+ years of demonstrated experience building large-scale, fault-tolerant, distributed systems and API microservices
Strong background in designing, analyzing, and improving efficiency, scalability, and stability of complex systems
Excellent understanding of low-level OS concepts: multi-threading, memory management, networking, and storage performance
Expert-level programming in one or more of: Rust, Go, Python, or TypeScript
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience

Job Responsibility

Build and optimize global and local request routing, ensuring low-latency load balancing across data centers and model engine pods
Develop auto-scaling systems to dynamically allocate resources and meet strict SLOs across dozens of data centers
Design systems for multi-tenant traffic shaping, tuning both resource allocation and request handling — including smart rate limiting and regulation — to ensure fairness and consistent experience across all users
Engineer trade-offs between latency and throughput to serve diverse workloads efficiently
Optimize prefix caching to reduce model compute and speed up responses
Collaborate with ML researchers to bring new model architectures into production at scale
Continuously profile and analyze system-level performance to identify bottlenecks and implement optimizations

What we offer

Competitive compensation
equity
health insurance
other competitive benefits

Fulltime

Senior Distributed Systems Engineer (HPC Platform)

We are looking for a Senior Distributed Systems Engineer to design and build cor...

Location

European Union

Salary:

Not provided

Itransition

Expiration Date

Until further notice

Requirements

Strong experience in backend development with Rust
Solid understanding of distributed systems architecture
Hands-on experience with message queues (e.g., Apache Pulsar, RabbitMQ)
Experience designing and building gRPC-based APIs / service-oriented architectures
Experience with AWS or similar cloud platforms
Strong problem-solving skills and ability to work with complex systems

Job Responsibility

design and build core backend services for a high-performance distributed computing platform
develop resilient, high-throughput infrastructure that orchestrates workloads across CPU and GPU nodes

What we offer

Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation

Senior AI Infrastructure Engineer - Training Platform

As a Software Engineer on the Machine Learning Infrastructure team, you will bui...

Location

United States , San Francisco; Seattle; New York

Salary:

216000.00 - 270000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes)
Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++)
Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling
Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling
Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput
Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware
Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)
Proven ability to solve complex problems and work independently in fast-moving environments

Job Responsibility

Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery
Design and implement scheduling primitives to optimize the lifecycle of training jobs
Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures
Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability
Work closely with Finance and Procurement teams to drive our capacity planning process
Participate in our team's on call process to ensure the availability of our services
Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
commuter stipend (may be eligible)

Fulltime

Senior Systems Software Engineer

As Senior Systems Software Engineer for Vision, you will design, develop, and op...

Location

United States , Palo Alto

Salary:

137861.00 - 240000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong experience with Linux and C++ programming
Proven experience building large software applications in relevant domains
Proficiency in managing memory and hardware resources in C++ and/or Rust
Strong skills using C‑APIs to access low‑level system resources (e.g. V4L, POSIX, OpenGL, CUDA)
Deep understanding of OS primitives and experience applying them in real‑time systems
Demonstrated ability to optimize for low latency and high throughput on modern CPUs
Experience working with hardware accelerators through low‑level C‑APIs
Background in systems where latency is critical (such as robotics, real‑time control, gaming engines, or similar)

Job Responsibility

Create and implement novel techniques to minimize system latency and computational load
Utilize GPU acceleration for image processing and inference tasks, ensuring high performance and responsiveness in real‑time applications
Develop low‑latency vision systems by integrating cameras, sensors, and image‑processing algorithms to enhance robotic perception
Build and optimize real‑time streaming solutions, with efficient compression, decompression, and data transmission under limited compute resources
Collaborate closely with cross‑functional teams to integrate vision systems into the overall robot architecture, contributing to teleoperation and autonomy stacks

Fulltime

Senior Applied Cryptographer

The Security Research Group at Microsoft Research Redmond is pushing the boundar...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, Rust
OR equivalent experience

Job Responsibility

Design and implement ZK circuits for real-world applications including signature verification and state management via Merkle trees
Use and extend circuit Software Development Kits (SDKs) to accelerate development
Develop reusable circuit components and SDKs to support new token standards
Add new functionality, extend existing functionality, and maintain high-speed cryptography libraries like Nova
Upgrade proof systems to include recent developments/optimizations
Parallelize proof generation across machines
GPU-based optimization of proving process
Embody our culture and values

Fulltime

New

Social Worker – Fostering - Family and Friends Team

Are you passionate about working with Family and Friends Carers and improving th...

Location

United Kingdom , Aylesbury

Salary:

40109.00 - 47629.00 GBP / Year

Buckinghamshire Council

Expiration Date

July 20, 2026

Requirements

Social work qualification
Active SWE registration
Completed ASYE
Working knowledge of legislation and guidance which applies to family and friends work
Experience of working in looked after children or with foster carers
Knowledge of research, inquiries and recent studies affecting this sector of service and an ability to monitor its application in practice
Strong written communication skills
Minimum of 2 years post qualifying experience
Experience and competence in working with the courts and providing written and verbal evidence

Job Responsibility

Deliver targeted and specialist social work services in the area of Kinship Care
Clarify eligibility and undertake statutory social work assessments
Promote the safety and well-being of children and young people
Assess and support prospective Family and Friends carers in line with Fostering Regulations and court proceedings
Hold a manageable caseload of SG and Reg24 assessments
Provide carer support
Work within statutory guidelines and fostering regulations
Assist with duty with opportunities to deliver training, run support groups and be involved in the organisation of carer events
Support the development and growth of the service

What we offer

Market premium of £2,750 per annum for Grade 7
Golden Hello payment after one years service (£1,000 for Grade 6, £2,125 for Grade 7)
Competitive salary with a market increment
Annual leave up to 30 days per year
Opportunity to buy further leave
Up to 15 days per year training, learning and development offer
Free parking across all office sites
Relocation packages available
Generous employer pension contribution
Discounts on Cafés, restaurants and shops

Fulltime

New

Spanish Speaking Caregiver

Join Our Team as a Caregiver in Lake Ariel, PA! *Earn Up to $14hr + Extra Cash T...

Location

United States , Lake Ariel

Salary:

14.00 USD / Hour

CareGivers America

Expiration Date

Until further notice

Requirements

Must be willing to work in Lake Ariel
Fluent in English, bilingual English/Spanish preferred
Availability to work Wednesday, Thursday, Saturday, and Sunday 6am-6pm
Reliable transportation required
Must be able to travel up to 25 miles to client locations

Job Responsibility

Bring comfort and companionship to clients in their homes
Help with daily care like bathing, dressing, toileting, and meals
Keep living spaces clean, safe, and welcoming
Offer medication reminders and support healthy routines
Communicate concerns and escalate safety issues as needed
Be a friendly face and a steady presence

What we offer

Paid Orientation
Weekly Pay
Flexible Schedules
Earn up to $375 for referring a friend
Caregiver Rewards Program
Premium Holiday Pay
Paid Time Off + Benefits including medical, dental, vision, and retirement
Free Employee Assistance Program
Discount Perks
Career Growth

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Senior GPU Compute Engineer (Rust)

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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