Senior Python/C# Developer Job at ELEKS

New

Avp, Quantitative Risk Analyst

Location

United States , New York City

Salary:

140000.00 - 185000.00 USD / Year

Aflac

Expiration Date

July 10, 2026

Requirements

Knowledge of statistics and its application to the financial services industry
Familiarity with life insurance company financial statements preferred
Strong analytical and critical thinking skills
Strong verbal and written communication skills
Highly organized with the ability to work on multiple projects with different deadlines
Team player
Bachelor's degree in Financial Engineering, Mathematical Finance, Mathematics or a related major
5+ years of relevant work experience in financial services risk management (preferably life insurance), either in industry, or as a consultant
Strong model development experience in programming languages such as C#, Python, and VBA required
Or an equivalent combination of education and experience

Job Responsibility

Works with GIRM team members to advance the development of the company’s risk analysis system
in particular, leads the technical development and/or maintenance of the investment risk system production environment (in Python/C#), including but not limited to risk simulation tool, regulatory capital ratio methods, extreme tail event stress testing and economic scenario generator (ESG)
Leads efforts to automate the data flow, calculation and production of regular investment risk reports for senior management and business partners
Provides quantitative support and business insight to senior management for different investment and risk management decisions, through analyses of financial impacts due to exposures in market risk, credit risk etc
Works closely with front office teams for different types of asset classes portfolio monitoring, including credit, derivatives and alternative assets and performs relevant risk analysis
Collaborates with GIRM team members to perform second line comprehensive risk analyses across investment risks to ensure compliance with the firm’s risk appetites, tolerances, and investment risk limits
Works closely with the Quantitative Analytic Solutions team to validate and calibrate models to support implementation
Provides documentation and validation of models and calibration techniques
Collaborates with GIRM’s technologists to ensure models are efficient and robust as deployed into production
Provides support for market and credit risk analysis

What we offer

Medical, dental, and vision coverage
Prescription drug coverage
Health care flexible spending
Dependent care flexible spending
Aflac supplemental policies (Accident, Cancer, Critical Illness and Hospital Indemnity offered at no costs to employee)
401(k) plans
Annual bonuses
Opportunity to purchase company stock
11 paid holidays annually
Up to 20 days PTO to be used for any reason

Fulltime

Senior Robotics Software Usecases Validation Engineer

Join AMD’s PAVS team as a Robotics Usecases Validation Engineer where you will V...

Location

India , Bangalore

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

4 to 7 years in QA/Validation, with 4+ years in robotics or AMR systems
Strong Python for automation and C++ for ROS2 integration
Hands-on experience with ROS2, Nav2 stack, colcon, and simulation tools (Gazebo/Ignition, Isaac Sim)
Expertise in LiDAR, depth cameras, IMU, odometry, and sensor calibration
Familiarity with fleet management systems, traffic control, and VDA5050 protocol
CI/CD experience with GitHub Actions/GitLab CI/Jenkins
Docker-based test environments
Knowledge of functional safety standards for mobile robots (ISO 3691-4, ISO 13849)
Bachelor’s or Master’s degree in Robotics, Electronics, Mechatronics, Computer Science, or a related field

Job Responsibility

Define Usecases and execute validation plans for robotics software stacks (perception, planning, control) and hardware subsystems
Develop automated test suites for ROS2 nodes, navigation stack (Nav2), and fleet APIs using Python/C++, pytest, gtest/gmock
Build simulation environments (Gazebo/Ignition, Isaac Sim) for warehouse layouts
author scenarios for obstacle avoidance, dynamic traffic, and multi-robot coordination
Set up Software-in-the-Loop and Hardware-in-the-Loop rigs for AMR controllers, LiDAR emulators, and safety sensors
automate provisioning and logging
Validate LiDAR, depth cameras, IMU, wheel encoders, and odometry accuracy under varying conditions
Test SLAM, localization robustness, path planning, and fleet orchestration (traffic management, task allocation, VDA5050 compliance)
Execute safety protocols for AMRs (emergency stop, zone monitoring, speed limits) aligned with ISO 3691-4, ISO 13849, ANSI/RIA R15.06
Measure latency, throughput, and stability under high-load scenarios

Fulltime

Senior FPGA Design Engineer

You will work in a team that develops broadcast products for motor racing, wirel...

Location

United Kingdom , Whiteley, Hampshire

Salary:

Not provided

Codan Limited

Expiration Date

Until further notice

Requirements

FPGA design experience using VHDL or Verilog
Embedded software development in C/C++
Experience with version control systems (e.g. Git, SVN)
Familiarity with embedded software development environments
Experience using test equipment or software tools for signal analysis and debugging

Job Responsibility

Design and develop FPGA-based video, audio and RF processing systems, including simulation and hardware validation
Develop embedded software (Python/C++) interfacing with FPGAs and on-board hardware, with a focus on clean, reusable and user-friendly APIs
Contribute to system-level design, translating product requirements into efficient technical solutions
Capture and prioritise requirements in collaboration with internal stakeholders and customers
Provide support to product quality and customers when needed

What we offer

25 days annual leave plus Bank holidays
A generous pension plan, company match up to 9%
Company bonus scheme
Annual pay reviews (discretional)
A personal approach to training and development
Employee Assistance Program
Income protection
Life assurance
Flexible core working hours

Fulltime

Senior ML Compiler Engineer

About the Mission: GM’s vision of Zero Crashes, Zero Emissions, and Zero Congest...

Location

United States , Austin

Salary:

128700.00 - 261300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

3+ years of experience in the field of compilers
Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and software stack (e.g., ONNX, MLIR, XLA, TVM, TensorRT, etc)
Expertise in writing production quality Python/C++ code
Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration
BS, or higher degree, in CS/CE/EE, or equivalent

Job Responsibility

Build and evolve the model compilation toolchain used to deploy large‑scale perception, prediction, and planning models to the AV
Architect new compiler passes and analysis that improve build times, memory footprint, and runtime latency while preserving—or intentionally trading off—fidelity under strict safety and reliability constraints
Collaborate closely with kernels, runtime, and hardware teams to co‑design interfaces, shape accelerator capabilities, and ensure the compiler exposes the right abstractions to unlock peak performance on each platform
Set standards and best practices for model export, validation, and debugging so that AV teams can iterate quickly with clear, reproducible performance and accuracy characteristics

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Senior Framework Engineer — Diffusion Inference

As a Framework Engineer for Diffusion Model Inference, you will design, build, a...

Location

Finland , Helsinki

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Strong Python and/or C++ engineering skills (debugging, profiling, testing, navigating complex codebases, clean abstractions)
Experience with ML frameworks—PyTorch strongly preferred, JAX/TF welcome—and familiarity with diffusion model execution
Proven ability to work in GPU-accelerated environments with intuition for performance, memory/compute tradeoffs, and profiling
Comfort with containers (Docker) and modern dev workflows (git, CI, build systems)
Strong cross-functional collaboration and clear technical communication skills
BSc, MSc, PhD, or equivalent experience in Computer Science, Electrical Engineering, or a related field

Job Responsibility

Develop and maintain a diffusion inference framework for image/video generation with clean APIs and strong compatibility with widely used diffusion ecosystems
Own scalable parallel inference features for DiT workloads—single-node and multi-node
Integrate optimized operator backends (attention, GEMM, quantized paths) by bridging Python/C++ layers and ensuring correctness and high performance
Ship production-grade packaging & releases including containers, versioned artifacts, dependency hygiene, and pip-installable distributions
Build continuous testing & benchmarking infrastructure
Collaborate across the GPU software stack and translate framework needs into actionable upstream improvements
Support strategic customers by mapping real-world inference constraints into framework features, reference configurations, and reproducible deployment recipes
Communicate clearly around technical tradeoffs, performance bottlenecks, and roadmap decisions

Fulltime

Senior AI/ML Tooling Engineer

We are looking for an ML tooling engineer to build tools to analyze and optimize...

Location

United States , Austin

Salary:

144700.00 - 261300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

3+ years of experience in the field of AI/ML
Experience with ML frameworks (e.g., PyTorch, TensorFlow) and NVIDIA developer ecosystem (TensorRT, Nsight-systems, Nsight-compute)
Expertise in writing production quality Python/C++ code
Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration
BS, or higher degree, in CS/CE/EE, or equivalent

Job Responsibility

Identify new opportunities to improve both training and inference efficiency
Build workflows for correctness and performance analysis on physical in-car compute and sensors
Build tooling to predict model performance based on architecture and data shape
Build tooling to trace actual performance on large distributed training and distillation jobs, running on the world’s most powerful GPUs, and analyze the results
Continually evolve the toolchain and stack, to leverage the latest advancements in AI
Influence model architecture decisions and strategy within GM

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Senior Security Researcher

The Intelligence Graph Research team within Microsoft CTO organization is respon...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 4+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
8+ years of experience in security research, detection engineering, threat hunting, incident response, or applied security data science (or equivalent depth of expertise)
3+ years of experience in Azure and Entra security concepts: authentication flows, service principals/app registrations, permissions/consents, conditional access, role assignments, tokens, workload identities, and common abuse paths
3+ years building anomaly detections over large-scale telemetry, including Baselines, time-series aggregates, and behavioral modeling, High-volume log analytics and query optimization (e.g., KQL/ADX or equivalent), Designing alert funnels and triage logic to reduce noise
3+ years in experience in applied ML skills for security problems: Feature engineering, model selection, evaluation design, drift monitoring, Experience shipping ML or statistical detection into production systems
3+ years in experience in Python/C# (data pipelines, modeling, production code quality), distributed processing (e.g., Spark/Databricks/Flink) and large datasets (Parquet/data lakes)
1+ years experience with graph analytics for security use cases (attack paths, entity resolution, graph embeddings, community detection, anomaly scoring) and/or graph databases (Neo4j or similar)
1+ years experience building or operationalizing LLM-powered or agentic investigation systems: Tool-driven agents, retrieval, memory, prompt/eval harnesses, guardrails, and human-in-the-loop workflow
1+ years with Microsoft cloud security telemetry sources such as: Entra sign-in/audit logs, app consent events, Azure activity logs, Key Vault diagnostics, storage access logs, Graph API activity, etc

Job Responsibility

Build cloud-scale anomaly detections: Design and implement high-signal anomaly detectors across Azure/Entra and custom log sources (control plane, data plane, identity/auth, app activity, Graph API, Key Vault, storage, etc.)
Create detection funnels that reduce noise while preserving true positives, with measurable improvements in alert quality and investigation time
Develop baselines and “pattern-of-life” models for identities, service principals, applications, tenants, and infrastructure
Convert detections into ML models and scalable pipelines: Translate research detections into ML approaches (supervised, weakly-supervised, semi-supervised, anomaly detection) and deploy them into reliable pipelines
Engineer features at scale (time-series aggregates, behavior fingerprints, graph-derived features, sequence features) and evaluate performance with rigorous metrics (precision/recall, alert volume, time-to-triage, drift)
Own end-to-end lifecycle from hypothesis to productionization

Fulltime

Senior Devops Engineer

We’re a team of hungry, high-character professionals from all backgrounds who ca...

Location

United States , Dallas

Salary:

Not provided

Island

Expiration Date

Until further notice

Requirements

5+ years of experience as a DevOps Engineer, preferably in a startup environment
Experience working with AWS
Terraform hands-on experience
5+ years of production experience with Kubernetes, including using open-source solutions from the ecosystem
Skills with at least one of these languages: Python/C#/Typescript/Go
Strong skills with a variety of monitoring and alerting tools
Service-oriented attitude, team player, fast self-learning individual and problem solver

Job Responsibility

Design, implement and maintain our production infrastructure, including our multi-cloud-based systems and services
Develop and maintain our CI/CD pipelines to ensure smooth and efficient releases
Utilizing cloud technologies such as AWS and Kubernetes to deploy and scale Island’s product
Building and maintaining monitoring tools to ensure the stability and security of our product
Collaborating with the team to identify and troubleshoot issues in the production environment

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Senior Python/C# Developer

Job Description

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