Sr Performance Benchmarking Engineer Job at ARM (Cambridge)

Sr Performance Analysis & Benchmarking Engineer

You’ll join forces with CPU engineering teams across the UK to evaluate and enha...

Location

United Kingdom , Cambridge

Salary:

Not provided

ARM

Expiration Date

Until further notice

Requirements

Strong grasp of CPU micro-architecture concepts (pipelines, caches, predictors, MMUs)
Hands-on experience with low-level embedded C or assembly for coding, testing, optimisation, and debugging
Proficiency in Linux environments with strong scripting skills (Shell, Python, or Perl)
A strong academic background with a degree in Computer Science, Electronic Engineering, or a related field

Job Responsibility

Analyse and report CPU/IP performance across the full development cycle
Collaborate with designers and performance engineers to improve power, performance, and area (PPA) of IPs
Develop and enhance infrastructure that employs emulators, simulators, and FPGAs to evaluate performance and power
Provide actionable insights to customers, architects, and marketing teams on how IPs perform across different scenarios and use cases

What we offer

Attractive relocation package
Health and Wellness
Work and Life Success
Financial Rewards
Development and Support

Sr. Software Performance Engineer

We’re seeking a passionate and experienced Senior Performance Engineer in develo...

Location

United States , Austin, Texas; Warren, Michigan

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science or related field
5+ years of experience in performance engineering and scalability engineering for cloud-hosted applications
Strong proficiency with performance tools like K6, JMeter
Strong knowledge of monitoring and observability tools like Data dog, Grafana, Dynatrace
Strong proficiency in scripting languages (ex: Java, JavaScript, Python)
Strong technical knowledge of virtualization, storage and networking
Proficiency in profiling all layers of the Technology stack (Software, OS, network) and optimizing complex applications
Expertise knowledge in Cloud & Container Ecosystem (Azure, Docker, Kubernetes)

Job Responsibility

Own the performance observability for production and lower environments, identifying and acting on concerning trends
Develop competency across our complete web technologies stack (client, framework, and services)
Weigh architectural trade-offs and apply synchronous and asynchronous design patterns
Monitor, assess and analyze the holistic performance of the application with benchmarking tools
Identify bottlenecks, lead root cause analysis, collaborate with developers, automate processes and ensure proper tools to ensure systems meet performance requirements from design to deployment
Own and enhance performance coverage by consulting with developers to identify areas for improvement and expansion
Investigate and diagnose performance issues to identify the root cause of the problems
Clearly document performance results and share actionable insights with developers
Develop datasets and workloads that accurately represent the Production environment
Analyze the CPU utilization, Memory usage, Network Usage, Garbage collection and DB Reports to verify application performance

Fulltime

Sr. SQL Engineer focused on Code Reasoning & Benchmarking

We are seeking an experienced Sr. SQL Engineer focused on Code Reasoning & Bench...

Location

India , Noida

Salary:

Not provided

AquSag Technologies

Expiration Date

Until further notice

Requirements

5+ years in software engineering, algorithm design, or systems-level programming
Strong command of SQL (4+ years) with ability to implement high-performance solutions
Solid understanding of complexity analysis, optimization, and computational constraints
Hands-on experience with test automation, benchmarks, or large-scale evaluation systems
Familiarity with version control (e.g., Git) and structured data formats (JSON, YAML)
Fluency in at least four of the following areas: Core Data Structures: Trie, Segment Tree, Union-Find
Algorithmic Paradigms: Dynamic Programming, Greedy Algorithms, Bitmasking
Graph Algorithms: Shortest Paths, Network Flow, Topological Sorting
Mathematics & Number Theory: Geometry, Probability, Modular Arithmetic
String Processing: Suffix Trees, Rolling Hashing, Pattern Matching

Job Responsibility

Problem & System Design: Create algorithmically challenging coding problems that evaluate reasoning, correctness, and efficiency in real-world software scenarios
Robust Development: Write clean, modular, and production-quality Java code along with comprehensive test suites covering correctness, edge cases, and performance
Technical Specifications: Draft clear, precise, and unambiguous specifications and problem statements with well-defined constraints and evaluation criteria
Algorithm Coverage: Ensure strong representation across multiple domains including data structures, graph algorithms, number theory, performance optimization, and constraint-based design
Metadata & Documentation: Apply structured metadata to all problems including taxonomy, difficulty levels, and domain relevance to maintain consistency and reproducibility
Quality Assurance: Participate in peer reviews and validation cycles to maintain high engineering and system integrity standards
Deliverables: Provide well-documented, maintainable, and scalable outputs ready for integration into production environments or downstream applications

Sr Performance Analysis Lead - Workload & CPU Arch

This exciting role revolves around CPU performance analysis and benchmarking. Th...

Location

India , Bangalore

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Solid understanding of CPU microarchitecture and pipeline
Experience with architectural simulators and silicon performance analysis tools
Strong analytical and programming skills
Knowledge of x86/ARM ISA and code generation
Familiarity with performance modeling techniques
Exposure to CPU benchmarking and workload analysis
Understanding of compiler optimizations (vectorization, inlining, unrolling, tiling, etc.)
Experience with profiling and performance analysis tools (perf, VTune, uProf, etc.)
Ability to perform assembly-level performance analysis of compiler-generated code
Experience constructing microbenchmarks to isolate and reproduce performance bottlenecks

Job Responsibility

Perform detailed workload analysis to assess and understand CPU performance
Investigate performance gaps between different hardware platforms using silicon counters and code-level analysis
Design and develop targeted tests to evaluate hardware performance features
Collaborate with architects to refine and enhance CPU microarchitectural features
Use silicon analysis tools to debug issues and validate performance results
Develop and evaluate new ideas using performance models and simulators
Deliver actionable insights from simulations and work with cross-functional teams to address design challenges
Drive improvements in CPU microarchitecture through strong performance correlations and optimizations

Fulltime

Sr Engineer, Machine Learning Engineering

The Senior Engineer, Machine Learning plays a pivotal role in advancing AI capab...

Location

United States , Bellevue; Atlanta; Overland Park; Herndon

Salary:

127000.00 - 229100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Data Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field
1+ year of experience in designing, developing, and deploying large language models (LLMs) and generative AI systems in production environments
5+ years of experience building and maintaining end-to-end ML pipelines, including data ingestion, training, deployment, monitoring, and optimization
3+ years of experience applying MLOps practices and leveraging cloud platforms (AWS, GCP, or Azure) for scalable AI solutions
5+ years of experience collaborating with cross-functional teams (engineering, data science, and product) to deliver AI-powered applications
2+ years of experience in programming languages such as Python/R, Java/Scala, and/or Go, with hands-on experience in frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Build and manage the complete machine learning and generative AI lifecycle, including research, design, experimentation, development, deployment, monitoring, and maintenance
Design, develop, and deploy LLM-based and generative AI models to power scalable and intelligent enterprise applications
Architect, optimize, and maintain retrieval-augmented generation (RAG), prompt orchestration, and contextual reasoning pipelines to support diverse AI use cases
Implement scalable MLOps pipelines for model deployment, performance monitoring, and continuous improvement
Conduct fine-tuning, alignment, and evaluation of LLMs and multimodal models to ensure reliability, efficiency, and fairness
Collaborate with data science, engineering, and product teams to translate business needs into generative AI-driven solutions
Perform benchmarking, evaluation, and optimization of generative models to improve accuracy, latency, and cost efficiency
Research and apply emerging techniques in transformer architectures, multimodal learning, and generative modeling to drive innovation and enhance enterprise capabilities
Ensure secure, ethical, and responsible AI deployment, embedding fairness, transparency, and compliance throughout the model lifecycle
Mentor and guide team members on generative AI frameworks, best practices, and experimentation methodologies

What we offer

annual stock grant
employee stock purchase plan
401(k)
free, year-round money coaches
medical insurance
dental insurance
vision insurance
flexible spending account
paid time off
up to 12 paid holidays

Fulltime

Engineer Sr Analyst

The Engineer Sr Analyst is an intermediate-level position responsible for a vari...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

7+ years of experience in Java full stack software development, with a focus on enterprise-level applications
Proven experience developing and deploying applications using the specified technology stack (Spring Boot, Angular, MongoDB)
Experience working in a regulated environment, preferably in the financial services or banking industry
Experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI/CD, Maven/Gradle)
Backend: Expert proficiency in Java and the Spring Boot framework
Frontend: Strong expertise in Angular (version 2+), TypeScript, HTML5, and CSS3
Database: Hands-on experience with MongoDB, including schema design, query optimization, and performance tuning
Strong understanding of RESTful APIs, microservices architecture, and version control systems (Git)
Experience working in Financial Services or a large complex and/or global environment
Consistently demonstrates clear and concise written and verbal communication

Job Responsibility

Design, develop, and maintain both front-end and back-end components of the platform & services provisioning automation framework
Build dynamic and responsive user interfaces using Angular, ensuring a seamless and intuitive user experience
Develop scalable and secure back-end microservices using Spring Boot, with a strong focus on RESTful API development and integration
Design and manage database schemas and queries in MongoDB, optimizing for performance and data integrity
Act as a technical subject matter expert (SME) for the framework, providing guidance and mentorship to junior developers
Lead requirements gathering discussions with business stakeholders and product owners to translate business needs into technical specifications
Coordinate with the QA team to ensure rigorous testing and quality assurance throughout the development process
Timely analyze and troubleshoot user issues and incidents as a development SME, providing root cause analysis and implementing effective resolutions
Participate in code reviews to ensure code quality, adherence to best practices, and security standards
Proactively identify and address technical debt and performance bottlenecks within the application

Fulltime

Sr Staff Engineer, Java Platform

Uber’s Developer Platform Organization is looking for a Staff Software Engineer ...

Location

United States , San Francisco; Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or a related field (or equivalent experience)
10+ years of full-time engineering experience
Demonstrated track record of driving large-scale, cross-organizational technical initiatives from concept through production
Proven ability to influence engineering direction at the organizational level
Systematic problem-solving approach and knowledge of algorithms, data structures, and complexity analysis
Strong understanding of distributed systems or stream processing
Proficient in at least one programming language, such as Golang, Java, C#, or C++

Job Responsibility

Set Java Technical Direction: Own the multi-year Java platform roadmap (runtime, build, tooling, AI-assist)
Translate future Java features (new JDK, virtual threads, etc.) into concrete adoption plans to boost throughput and cut costs, influencing architecture across thousands of services
Accelerate Java Developer Velocity: Design and ship next-gen platform abstractions (TaskGraph, virtual-thread containers, reactive I/O) and opinionated 'golden-path' frameworks (observability, circuit-breakers, AI code generation) to simplify development
Partner with teams to reduce build times, test flakiness, and onboarding friction
Enable Storage, Search & Data with Open Source: Act as Uber's senior liaison to critical Java OSS communities (OpenJDK, Cassandra, Lucene, Kafka, Pinot, Hive/Spark)
Identify and address upstream gaps, contribute fixes/features, reduce Uber-specific forks, and establish a structured OSS engagement model (office hours, contribution guidelines, sponsorship, conferences)
Drive JVM Performance & Cost Efficiency: Lead benchmarking and continuous profiling to optimize JVM tuning, GC strategy, and frameworks
Quantify cost savings for leadership and champion memory- and CPU-efficient design through guidelines and automated analysis
Mentor, Grow, and Lead: Mentor Staff/Senior Engineers
Conduct high-quality architecture/design reviews

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Sr. Kubernetes Engineer

The Sr Kubernetes Engineer is a hands-on technical role responsible for designin...

Location

United States , Morristown; Boston; St. Petersburg; St. Louis; Atlanta

Salary:

139000.00 - 186000.00 USD / Year

Zelis

Expiration Date

Until further notice

Requirements

10+ years of experience in cloud-native infrastructure, with deep expertise in Kubernetes (e.g., Native, Amazon EKS and Amazon ECS)
Proven track record of designing and operating production-grade Kubernetes platforms in multi-account AWS environments
Strong proficiency in infrastructure-as-code (CDK with Python), AWS DevOps native CI/CD tooling, and observability stacks (e.g. CloudWatch)
Experience implementing security controls, RBAC, and compliance frameworks (e.g., CIS Benchmarks)
Demonstrated ability to influence technical direction across multiple teams and domains

Job Responsibility

Architect and operationalize a Kubernetes platform(s) on AWS supporting multi-account, multi-region deployments aligned with AWS Well-Architected principles
Define platform capabilities including compute autoscaling, pod networking, network policies, load balancing, and storage drivers
Define paved path container standards and support consumption of those standards
Lead platform roadmap development and cross-functional alignment with architecture, security, FinOps, and product engineering
Operating System, Kubelet, CRI & AMI Configuration: Define and own lifecycle management, patching, and performance tuning of worker nodes
Worker Node Scaling: Design and manage autoscaling groups, node pools, and lifecycle automation
VPC Configuration: Architect secure and scalable VPCs, subnets, route tables, NAT gateways, and security groups
EKS Cluster Configuration: Manage cluster-level settings including version upgrades, endpoint access, audit logging, and control plane integrations
Add-ons Management: Deploy and maintain cluster add-ons such as CoreDNS, kube-proxy, metrics server, and custom controllers
Policies & Governance: Define and enforce RBAC, network policies, pod security standards, and IAM roles for service accounts

What we offer

401k plan with employer match
flexible paid time off
holidays
parental leaves
life and disability insurance
health benefits including medical, dental, vision, and prescription drug coverage

Fulltime

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Sr Performance Benchmarking Engineer

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